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Lodhi, Sheheryar, and Zaheer Ahmed. "Content Ontology Design Pattern Presentation." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Data- och elektroteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-15760.
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Ontology design patterns are used for creating quality modeling solutions for ontologies. The presentation of ontology design patterns is concerned with reusability of ontologies from a user perspective. The purpose of this research is to identify improvement areas in the presentation of content ontology design patterns. The objective is to analyze different content ontology design patterns and provide suggestions for possible changes in current templates and pattern presentation. The ontology design pattern templates were compared with existing templates of other patterns to identify improvement areas. After this, two surveys were conducted with novice users and expert ontology engineers to improve the readability and usability of content ontology design patterns from the user perspective and to discover differences in opinion while using the patterns. Based on the findings of comparison and survey results, we proposed suggestions to improve the current template and presentation of content ontology design patterns.
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Taofifenua, Ofaina. "Ontology centric design process : Sharing a conceptualization." Thesis, Paris, CNAM, 2012. http://www.theses.fr/2012CNAM0818/document.
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Dans le marché mondial fortement concurrentiel, un constructeur automobile doit offrir à ses clients des services innovants, respectueux de l'environnement et sûrs de fonctionnement. Tout cela doit être fait à des coûts très compétitifs tout en respectant des réglementations et des délais de plus en plus stricts. Ces travaux répondent à ces défis et visent à améliorer le processus de conception des systèmes mécatroniques critiques automobile. Ils montrent que l'utilisation de modèles formels et informels peuvent se rapporter à un modèle sémantique commun, i.e., une ontologie système et sécurité, qui permet d'assurer la cohérence du processus de conception tout en respectant la norme ISO 26262. Les concepts de ces travaux ont été appliquées sur un système de freinage régénératif hybride intégré dans un véhicule électrique. L'application a démontré que l'ontologie réalisée permet d'enregistrer l'information produite lors de la conception et que l'utilisation d'ontologies permet effectivement de détecter les incohérences sémantiques ce qui améliore la qualité des informations de conception, favorise la réutilisation et assure la conformité à l'ISO 26262In the strongly competitive worldwide market of today, a car manufacturer has to offer to its customersrelevant, innovative, reliable, environment friendly and safe services. All this must be done at verycompetitive costs while complying with more and more stringent regulations and tighter deadlines. Thiswork addresses these challenges and aims at improving the design process for automotive safety criticalmechatronics systems. It shows that the use of formal and informal models can commit to a commonsemantic model, i.e., a system and safety ontology, that enables to ensure the consistency of the wholedesign process and compliance with standard ISO 26262. The concepts in this work have been appliedon a regenerative hybrid braking system integrated into an electrical vehicle. It demonstrated that therealized ontology enables to record the information produced during design and that using ontologieseffectively enables to detect semantic inconsistencies which improves design information quality, promotesreuse and ensures ISO 26262 compliance
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Taofifenua, Ofaina, and Ofaina Taofifenua. "Ontology centric design process : Sharing a conceptualization." Phd thesis, Conservatoire national des arts et metiers - CNAM, 2012. http://tel.archives-ouvertes.fr/tel-00752100.
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In the strongly competitive worldwide market of today, a car manufacturer has to offer to its customersrelevant, innovative, reliable, environment friendly and safe services. All this must be done at verycompetitive costs while complying with more and more stringent regulations and tighter deadlines. Thiswork addresses these challenges and aims at improving the design process for automotive safety criticalmechatronics systems. It shows that the use of formal and informal models can commit to a commonsemantic model, i.e., a system and safety ontology, that enables to ensure the consistency of the wholedesign process and compliance with standard ISO 26262. The concepts in this work have been appliedon a regenerative hybrid braking system integrated into an electrical vehicle. It demonstrated that therealized ontology enables to record the information produced during design and that using ontologieseffectively enables to detect semantic inconsistencies which improves design information quality, promotesreuse and ensures ISO 26262 compliance.
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Hammar, Karl. "Towards an Ontology Design Pattern Quality Model." Licentiate thesis, Linköpings universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93370.
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The use of semantic technologies and Semantic Web ontologies in particular have enabled many recent developments in information integration, search engines, and reasoning over formalised knowledge. Ontology Design Patterns have been proposed to be useful in simplifying the development of Semantic Web ontologies by codifying and reusing modelling best practices. This thesis investigates the quality of Ontology Design Patterns. The main contribution of the thesis is a theoretically grounded and partially empirically evaluated quality model for such patterns including a set of quality characteristics, indicators, measurement methods and recommendations. The quality model is based on established theory on information system quality, conceptual model quality, and ontology evaluation. It has been tested in a case study setting and in two experiments. The main findings of this thesis are that the quality of Ontology Design Patterns can be identified, formalised and measured, and furthermore, that these qualities interact in such a way that ontology engineers using patterns need to make tradeoffs regarding which qualities they wish to prioritise. The developed model may aid them in making these choices. This work has been supported by Jönköing University.
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Chang, Xiaomeng. "Ontology Development and Utilization in Product Design." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27284.
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Currently, computer-based support tools are widely used to facilitate the design process and have the potential to reduce design time, decrease product cost and enhance product quality. PDM (Product Data Management) and PLM (Product Lifecycle Management) are two types of computer-based information systems that have been developed to manage product lifecycle and product related data. While promising, significant limitations still exist, where information required to make decisions may not be available, may be lacking consistency, and may not be expressed in a general way for sharing among systems. Moreover, it is difficult for designers to consider multiple complex technical and economical criteria, relations, and objectives in product design simultaneously.
In recent years, ontology-based method is a new and promising approach to manage knowledge in engineering, integrate multiple data resources, and facilitate the consideration of the complex relations among concepts and slots in decision making. The purpose of this research is to explore an ontology-based method to solve the limitations in present computer-based information systems for product design.
The field of Design for Manufacturing (DFM) is selected for this study, and three primary aspects are investigated. First, a generalized DFM ontology is proposed and developed. The ontology fulfills the mathematical and logical constraints needed in DFM, as well as ontology editor capabilities to support the continuous improvement of the ontology. Second, the means to guide users to the proper information and integrate heterogeneous data resources is investigated. Third, based on the ontology and information integration, a decision support tool is developed to help designers consider the design problem in a systematic way and make design decisions efficiently based on accurate and comprehensive data.
The methods and tools developed in this research are refined using example cases provided by the CFSP (The NSF Center for Friction Stir Processing). This includes cost models and a decision support environment. Errors that may occur in the research are categorized with management methods. An error ontology is built to help root cause analysis of errors and further reduce possible errors in the ontology and decision support tool. An evaluation methodology for the research is also investigated.Ph. D.
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Alzyoud, Mazen Salem. "ONTOLOGY DESIGN PATTERNS WITH APPLICATIONS TO SOFTWARE MEASUREMENT." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1447338253.
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Kumar, Pavan Prasanna. "Design process modeling towards an ontology of engineering design activities /." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1219852457/.
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Tan, Kok Keng. "Cognitive Systems Engineering as an Ontology for Design." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269531460.
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Hammar, Karl. "Content Ontology Design Patterns : Qualities, Methods, and Tools." Doctoral thesis, Linköpings universitet, Interaktiva och kognitiva system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139584.
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Ontologies are formal knowledge models that describe concepts and relationships and enable data integration, information search, and reasoning. Ontology Design Patterns (ODPs) are reusable solutions intended to simplify ontology development and support the use of semantic technologies by ontology engineers. ODPs document and package good modelling practices for reuse, ideally enabling inexperienced ontologists to construct high-quality ontologies. Although ODPs are already used for development, there are still remaining challenges that have not been addressed in the literature. These research gaps include a lack of knowledge about (1) which ODP features are important for ontology engineering, (2) less experienced developers' preferences and barriers for employing ODP tooling, and (3) the suitability of the eXtreme Design (XD) ODP usage methodology in non-academic contexts. This dissertation aims to close these gaps by combining quantitative and qualitative methods, primarily based on five ontology engineering projects involving inexperienced ontologists. A series of ontology engineering workshops and surveys provided data about developer preferences regarding ODP features, ODP usage methodology, and ODP tooling needs. Other data sources are ontologies and ODPs published on the web, which have been studied in detail. To evaluate tooling improvements, experimental approaches provide data from comparison of new tools and techniques against established alternatives. The analysis of the gathered data resulted in a set of measurable quality indicators that cover aspects of ODP documentation, formal representation or axiomatisation, and usage by ontologists. These indicators highlight quality trade-offs: for instance, between ODP Learnability and Reusability, or between Functional Suitability and Performance Efficiency. Furthermore, the results demonstrate a need for ODP tools that support three novel property specialisation strategies, and highlight the preference of inexperienced developers for template-based ODP instantiation---neither of which are supported in prior tooling. The studies also resulted in improvements to ODP search engines based on ODP-specific attributes. Finally, the analysis shows that XD should include guidance for the developer roles and responsibilities in ontology engineering projects, suggestions on how to reuse existing ontology resources, and approaches for adapting XD to project-specific contexts.
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Bathija, Vishal. "An Adaptation Methodology for Reusing Ontologies." Miami University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=miami1155673377.
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Sevindik, Mentes Hilal. "Design and Development of a Mineral Exploration Ontology." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/geosciences_theses/49.
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In this thesis, an ontology for the mineral exploration domain is designed and developed applying the Protégé ontology editor. The MinExOnt ontology includes a formal and explicit representation of the terms describing real objects, activities, and processes in mineral exploration. The stages used for these activities have various vocabularies, which are semantically modeled in this ontology with Web Ontology Language (OWL). The aim of the thesis is to show how ontologies can be designed and developed to help manage and represent geological knowledge. In addition to providing a general workflow for building the ontology, this thesis presents a simple user guide for the used software, including Protégé, used for ontology development, and Knoodl-OntVis, used for OWL visualization.
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Jean-Louis, Ludovic. "Prototype system for automatic ontology construction." Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-738.
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Though a constantly increasing number of ontologies are now available on the Internet, the ontology construction process remains generally a manual task, so consequently an effort demanding task. As no unified ontology construction method is available in the literature, researchers started investigating different frameworks for automatically generating ontologies and, therefore shorten the time required for their construction. This master’s thesis presents a prototype system for automatic construction of ontology, based on ontology design patterns and unstructured texts, such as natural language texts. The use of ontology design patterns allow constructing well structured ontologies and reducing the demand of knowledge experts. A difference between our prototype system and the systems presented in the literature is, the possibility to increase accuracy of the generated ontology by selecting the more relevant terms and associations from the unstructured text and match them against the ontology design patterns. Also, a matching score is introduced to define the level of similarity between the terms extracted and the ontology design patterns. By setting a threshold value on the matching score, the relevant ontology design patterns are selected and used for the ontology construction process. The ontology construction framework used by the prototype system has been developed by the research group in Information Engineering of the School of Engineering, Jönköping University.
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Ying, Weir Information Systems Technology & Management Australian School of Business UNSW. "Design methodology for ontology-based multi-agent applications (MOMA)." Awarded By:University of New South Wales. Information Systems, Technology & Management, 2009. http://handle.unsw.edu.au/1959.4/40717.
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Software agents and multi-agent systems (MAS) have grown into a very active area of research and commercial development activity. There are many current emerging real-world applications spanning multitude of diverse domains. In the context of agents, ontology has been widely recognised for their significant benefits to interoperability, reusability, and both development and operational aspects of agent systems and applications. Ontology-based multi-agent systems (OBMAS) exploit these advantages in providing intelligent and semantically aware applications. In addressing the lack of support for ontology in existing methodologies for multi-agent development, this thesis proposes a design methodology for the building of such intelligent multi-agent applications called MOMA. This alternative approach focuses on the development of ontology as the driving force of the development process. By allowing the domain and characteristics of utilisation and experimentation to be dictated through ontology, researchers and domain experts can specify the agent application without any knowledge of agent design and lower level programming. Through the use of a structured ontology model and the use of integrated tools, this approach contributes towards the building of semantically aware intelligent applications for use by researchers and domain experts. MOMA is evaluated through case studies in two different domains: financial services and e-Health.
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Zaccagnini, Davide. "Design of a goal ontology for medical decision-support." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33848.
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Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2005.Includes bibliographical references (leaves 34-36).
Objectives: There are several ongoing efforts aimed at developing formal models of medical knowledge and reasoning to design decision-support systems. Until now, these efforts have focused primarily on representing content of clinical guidelines and their logical structure. The present study aims to develop a computable representation of health-care providers' intentions to be used as part of a framework for implementing clinical decision-support systems. Our goal is to create an ontology that supports retrieval of plans based on the intentions or goals of the clinician. Methods: We developed an ontological representation of medical goals, plans, clinical scenarios and other relevant entities in medical decision-making. We used the resulting ontology along with an external ontology inference engine to simulate selection of clinical recommendations based on goals. The ontology instances used in the simulation were modeled from two clinical guidelines. Testing the design: Thirty-two clinical recommendations were encoded in the experimental model. Nine test cases were created to verify the ability of the model to retrieve the plans. For all nine cases, plans were successfully retrieved. Conclusion: The ontological design we developed supported effective reasoning over a medical knowledge base.
(cont.) The immediate extension of this approach to be fully developed in medical applications may be partially limited by the lack of available editing tools. Many efforts in this area are currently aiming to the development of needed technologies.
by Davide Zacacagnini [i.e. Zaccagnini].
S.M.
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Ludovic, Jean-Louis. "Prototype system for automatic ontology construction." Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-7693.
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Though a constantly increasing number of ontologies are now available on the Internet, the ontology construction process remains generally a manual task, so consequently an effort demanding task. As no unified ontology construction method is available in the literature, researchers started investigating different frameworks for automatically generating ontologies and, therefore shorten the time required for their construction. This master’s thesis presents a prototype system for automatic construction of ontology, based on ontology design patterns and unstructured texts, such as natural language texts. The use of ontology design patterns allow constructing well structured ontologies and reducing the demand of knowledge experts. A difference between our prototype system and the systems presented in the literature is, the possibility to increase accuracy of the generated ontology by selecting the more relevant terms and associations from the unstructured text and match them against the ontology design patterns. Also, a matching score is introduced to define the level of similarity between the terms extracted and the ontology design patterns. By setting a threshold value on the matching score, the relevant ontology design patterns are selected and used for the ontology construction process. The ontology construction framework used by the prototype system has been developed by the research group in Information Engineering of the School of Engineering, Jönköping University.
Även fast ett ökande antal ontologier är tillgängliga på Internet, är ontologikonstruktion fortfarande till största delen en manuell process, som därigenom kräver en stor arbetsinsats. Eftersom ingen enhetlig metodologi för att konstruera ontologier finns i litteraturen, forskare började undersöka olika ansatser för att automatiskt generera ontologier och därigenom förkorta konstruktionstiden. Detta examensarbete presenterar ett prototypsystem för automatisk konstruktion av ontologier, baserat på designmönster för ontologier och ostrukturerad text (text i naturligt språk). Att använda designmönster ger en välstrukturerad ontologi och minskar behovet av expertkunskap. En skillnad mellan vårt system och system i litteraturen är möjligheten att få en mer korrekt ontologi genom att välja de mestrelevanta termerna och relationerna från texterna och matcha dem motdesignmönstren. Ett värde för överensstämmelsen har införts för att kunna beskriva hur stor likhet som finns mellan termerna och designmönstren. Genom att sätta ett tröskelvärde väljs de relevanta designmönstren ut och används för att konstruera ontologin. Den generella processen för ontologikonstruktion som används av prototypsystemet har utvecklats av forskningsgruppen i Informationsteknik vid Ingenjörshögskolan i Jönköping.
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Park, Minho. "Ontology-based customizable 3D modeling for simulation." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010095.
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Wu, Xi. "Ontology-driven Web-based Medical Image Sharing Interface for Epilepsy Research." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1496660866436638.
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Aranguren, Mikel Egaña. "Role and application of ontology design patterns in bio-ontologies." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498678.
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Knowledge Representation (KR) languages such as OWL (Web Ontology Languge), having precise semantics, offer the possibility of computationally exploiting biological knowledge, by codifying it in the axioms of bio-ontologies widely used in life sciences for knowledge management. Knowledge is, however, often represented in bio-ontologies without following rigorous principles of modelling and the resulting bio-ontologies are axiomatically lean. Therefore knowledge cannot be computationally exploited for integrity checking, hypothesis generation, consistency maintenance, integration, or rich querying. A solution that can contribute to the rigorous modelling and axiomatic richness of bio-ontologies is is the use of Ontology Design Patterns (ODPs). ODPs are thoroughly documented and efficient solutions for recurrent problems encountered when building ontologies. Therefore ODPs act as guides on how to use KR languages for creating ontology fragments that have well known advantages and side effects. In order forr ODPs to be efficiently accessed by bio-ontologists, an online catalogue of ODPs has been created, describing different ODPs using a consisistent documentation schema. Such ODPs, apart from being accessed, can be applied automatatically with the Ontology Preprocessor Language (OPPL), as OPPL makes it possible to encapsulate ODPs in scripts to be executed on OWL ontologies, making the application of ODPs replicable and flexible. The infrastructure for applying ODPs formed by the catalogue amd OPPL has been used for applying ODPs in bio-ontologies like the Cell Type Ontology. The results of such application have been evaluated to assess the applied ODPs and the chang on ontology quality.
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Lima, Dutra Moisés, and Dutra Moisés Lima. "An ontology-based approach to manage conflicts in collaborative design." Phd thesis, Université Claude Bernard - Lyon I, 2009. http://tel.archives-ouvertes.fr/tel-00692473.
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Today's complex design projects require teams of designers to work collaboratively by sharing their respective expertise in order to produce effective design solutions. Due to the increasing need for exchanging knowledge, modern design projects are more structured to work with distributed virtual teams that collaborate over computer networks to achieve overall optimization in design. Nevertheless, in a collaborative design process, the integration of multidisciplinary virtual teams - involving exchange and sharing of knowledge and expertise - frequently and inevitably generates conflicting situations. Different experts' viewpoints and perspectives, in addition to several ways of communicating and collaborating at the knowledge level, make all this process very hard to manage. In order to achieve an optimal scenario, some problems must first be solved, such as requirement specification and formalization, ontology integration, and conflict detection and resolution. Specifying and formalizing the knowledge demands a great effort towards obtaining representation patterns that aggregate several disjoint knowledge areas. Each expert should express himself so that the others can understand his information correctly. It is necessary, therefore, to use a flexible and sufficiently extensive data representation model to accomplish such a task. Some current models fall short of providing an effective solution to effective knowledge sharing and collaboration on design projects, because they fail to combine the geographical, temporal, and functional design aspects with a flexible and generic knowledge representation model. This work proposes an information model-driven collaborative design architecture that supports synchronous, generic, service-oriented, agent-based, and ontology-based teamwork. Particular representation models are transformed into ontology instances and merged together in order to accomplish the final product design. It is a synchronous approach because the concurrent processes are undertaken at the same time that the interactions among designers take place. It is generic because it provides the users with two approaches for ontology integration: the use of a predefined generic ontology and the harmonization process. Our proposal focuses on collaborative design conflict resolution by using Web Ontology Language (OWL) and Web Services, the former as a tool for knowledge representation and the latter as a technological support for communication.
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Lei, Yuangui. "An ontology-based approach to web site design and development." Thesis, Open University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418681.
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Shen, Yanfen. "A formal ontology for data mining : principles, design, and evolution." Thèse, Trois-Rivières : Université du Québec à Trois-Rivières, 2007. http://www.uqtr.ca/biblio/notice/resume/30004656R.pdf.
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Shin, In Jae. "Development of a theory-based ontology of design-induced error." Thesis, University of Bath, 2009. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516953.
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TEIXEIRA, M. G. S. "An Ontology-Based Process for Domain-Specific Visual Language Design." Universidade Federal do Espírito Santo, 2017. http://repositorio.ufes.br/handle/10/9873.
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Previous issue date: 2017-08-17Em Modelagem Conceitual, tem ocorrido um interesse crescente em Linguagens de Modelagem Visuais Específicas de Domínio ( Domain-Specific Visual Modeling Languages (DSVMLs)) e no suporte que elas provêem para compr eensão do domínio de um problema e comunicação entre modelado res e interessados. Assim, é importante providenciar diretrizes para o design de DSVMLs. Por muitos anos, o foco de pesquisa tem sido na sintaxe abstrata, enqu anto a sintaxe concreta tem recebido menor atenção. Isso é um infortúnio, pois a sintaxe visual impacta significativamente a capacidade de comunicação e de resolução de problemas de modelos conceituais Um dos trabalhos mais disseminados para análise e d esign de aspectos visuais de linguagens de modelagem é a Física das Notações (Po N). PoN define um conjunto de princípios usado para analisar e projetar notaçõ es visuais cognitivamente eficientes. Contudo, PoN tem lacunas, tais como: (i ) Falta um método para aplicar seus princípios; (ii) O design de símbolos não cria sistematicamente símbolos que refletem entidades do mundo real. Nesta pesquisa, nós apresentamos a Física das Notações Sistematizada (PoN-S) para resolver a lacuna (i). PoN-S estabelece um con junto ordenado de atividades de design e sugere quando aplicar os princípios de PoN . Ela também propõe grupos de princípios de PoN. Outra maneira de melhorar a qualidade de DSVMLs é a aplicação de teorias ontológicas, mas ontologias podem ser aplicadas com sucesso no design de sintaxes concretas como tem sido aplicadas para a s intaxe abstrata? Guizzardi (2013) propoem diretrizes ontológicas baseadas na O ntologia de Fundamentação Unificada (UFO) para auxiliar no design de notações visuais. Contudo, tais diretrizes também tem lacunas: (iii) São diretrizes isoladas e não parte de um processo de design; (iv) O conjunto de distinções ontológicas, é restrito; (v) As diretrizes ontológicas são restritas a serem aplicadas no esta belecimento dos símbolos de uma DSVMLs. Para resolver as lacunas (ii) até (v) nós combinamo s as diretrizes ontológicas baseadas em UFO com PoN-S, originando a Física das Notações Ontologizada e Sistematizada (PoNTO-S) . PoNTO-S é um processo de design sistematizado par a sintaxes concretas de DSVMLs que conecta a sintaxe concreta com o significado do mundo-real (isto é, o significado ontológico). Este projeto é um processo de Design Science com di ferentes iterações, cada uma produzindo artefatos próprios. O problema de design é o design de sintaxes concretas de DSVMLs. Os artefatos são melhorias de duas soluções existentes: PoN e diretrizes ontológicas baseadas em UFO. PoN-S e PoNTO-S são classificados como teorias de design, visto serem p rocesso de design. Nós também investimos em estudos empíricos. Foram executados e studos exploratórios para dar suporte as indicações coletadas durante a revisão d e literatura e guiar algumas decisões. Após desenvolver versões de PoN-S e PoNTO -S nós aplicamos novos estudos empíricos que geraram evidências para concl uirmos que PoN-S e PoNTO-S são utéis, e que tais abordagens podem evoluir, dan do origem a abordagens ainda mais úteis.
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Lima, Dutra Moisés. "An ontology-based approach to manage conflicts in collaborative design." Thesis, Lyon 1, 2009. http://www.theses.fr/2009LYO10241/document.
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De nos jours, les projets de conception complexes de produits exigent que les équipes de concepteurs se réunissent pour faciliter le partage de leurs compétences et expertises respectives afin de produire un ensemble de solutions de conception efficace. Dû au besoin croissant d’échanger les connaissances, les projets de conception modernes sont encore plus structurés pour travailler avec des équipes distribuées qui collaborent sur un réseau informatique pour accomplir une conception optimale de produit. Néanmoins, dans ce processus de conception collaborative, l'intégration d'équipes multidisciplinaires – qui implique l'échange et le partage des connaissances et compétences – génère fréquemment des situations conflictuelles. Les différents points de vue et perspectives des experts, les différentes façons de communiquer et collaborer au niveau de connaissances, rendent le processus difficilement maitrisable. Pour accomplir un scénario optimal, certains problèmes doivent d’abords être résolus comme la spécification et formalisation des besoins, l’intégration d'ontologies, la détection et la résolution des conflits. Spécifier et formaliser les connaissances demandent un grand effort afin d’obtenir un modèle de représentation pour agréger plusieurs domaines différents des connaissances. Chaque expert pourrait s'exprimer afin que les autres comprennent leurs informations correctement. Il est donc nécessaire d’utiliser un modèle de représentation de données suffisamment clair et flexible pour accomplir cette tâche. Certains modèles actuels ne parviennent pas à fournir une solution efficace pour le partage des connaissances et pour la collaboration des projets de conception, car ces modèles n’intègrent pas les aspects géographiques, temporels, fonctionnels de la conception avec un modèle de représentation des connaissances flexible et générique. Ce travail propose une architecture, pour la conception collaborative, qui ambitionne d'être synchrone, générique, orientée aux services, basée sur les agents, et basée sur les ontologies. Des modèles particuliers de représentation sont transformés en instances d'ontologie et sont fusionnés pour accomplir le model final de conception d’un produit. C'est une approche synchrone parce que le processus de fusion est entrepris en même temps que l'interaction entre concepteurs. C'est générique parce qu'elle permet aux utilisateurs de travailler avec deux approches pour l’intégration d'ontologies : celle qui utilise une ontologie générique et celle qui utilise un processus d'harmonisation. Notre proposition se concentre sur les conflits de la conception collaborative et fait usage de Web Ontology Language (OWL) et des Services Web, le premier comme langage pour représenter les connaissances et le dernier comme un support technologique pour la communicationToday’s complex design projects require teams of designers to work collaboratively by sharing their respective expertise in order to produce effective design solutions. Due to the increasing need for exchanging knowledge, modern design projects are more structured to work with distributed virtual teams that collaborate over computer networks to achieve overall optimization in design. Nevertheless, in a collaborative design process, the integration of multidisciplinary virtual teams – involving exchange and sharing of knowledge and expertise – frequently and inevitably generates conflicting situations. Different experts’ viewpoints and perspectives, in addition to several ways of communicating and collaborating at the knowledge level, make all this process very hard to manage. In order to achieve an optimal scenario, some problems must first be solved, such as requirement specification and formalization, ontology integration, and conflict detection and resolution. Specifying and formalizing the knowledge demands a great effort towards obtaining representation patterns that aggregate several disjoint knowledge areas. Each expert should express himself so that the others can understand his information correctly. It is necessary, therefore, to use a flexible and sufficiently extensive data representation model to accomplish such a task. Some current models fall short of providing an effective solution to effective knowledge sharing and collaboration on design projects, because they fail to combine the geographical, temporal, and functional design aspects with a flexible and generic knowledge representation model. This work proposes an information model-driven collaborative design architecture that supports synchronous, generic, service-oriented, agent-based, and ontology-based teamwork. Particular representation models are transformed into ontology instances and merged together in order to accomplish the final product design. It is a synchronous approach because the concurrent processes are undertaken at the same time that the interactions among designers take place. It is generic because it provides the users with two approaches for ontology integration: the use of a predefined generic ontology and the harmonization process. Our proposal focuses on collaborative design conflict resolution by using Web Ontology Language (OWL) and Web Services, the former as a tool for knowledge representation and the latter as a technological support for communication
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Krisnadhi, Adila Alfa. "Ontology Pattern-Based Data Integration." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1453177798.
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Koegst, Thilo. "Ontology based model framework for conceptual design of treatment flow sheets." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-139773.
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The primary objective of wastewater treatment is the removal of pollutants to meet given legal effluent standards. To further reduce operators costs additional recovery of resources and energy is desired by industrial and municipal wastewater treatment. Hence the objective in early stage of planning of treatment facilities lies in the identification and evaluation of promising configurations of treatment units. Obviously this early stage of planning may best be supported by software tools to be able to deal with a variety of different treatment configurations.
In chemical process engineering various design tools are available that automatically identify feasible process configurations for the purpose to obtain desired products from given educts. In contrast, the adaptation of these design tools for the automatic generation of treatment unit configurations (process chains) to achieve preset effluent standards is hampered by the following three reasons.
First, pollutants in wastewater are usually not defined as chemical substances but by compound parameters according to equal properties (e.g. all particulate matter). Consequently the variation of a single compound parameter leads to a change of related parameters (e.g. relation between Chemical Oxygen Demand and Total Suspended Solids). Furthermore, mathematical process models of treatment processes are tailored towards fractions of compound parameters. This hampers the generic representation of these process models which in turn is essential for automatic identification of treatment configurations.
Second, treatment technologies for wastewater treatment rely on a variety of chemical, biological, and physical phenomena. Approaches to mathematically describe these phenomena cover a wide range of modeling techniques including stochastic, conceptual or deterministic approaches. Even more the consideration of temporal and spatial resolutions differ. This again hampers a generic representation of process models.
Third, the automatic identification of treatment configurations may either be achieved by the use of design rules or by permutation of all possible combinations of units stored within a database of treatment units. The first approach depends on past experience translated into design rules. Hence, no innovative new treatment configurations can be identified. The second approach to identify all possible configurations collapses by extremely high numbers of treatment configurations that cannot be mastered. This is due to the phenomena of combinatorial explosion. It follows therefrom that an appropriate planning algorithm should function without the need of additional design rules and should be able to identify directly feasible configurations while discarding those impractical.
This work presents a planning tool for the identification and evaluation of treatment configurations that tackles the before addressed problems. The planning tool comprises two major parts. An external declarative knowledge base and the actual planning tool that includes a goal oriented planning algorithm. The knowledge base describes parameters for wastewater characterization (i.e. material model) and a set of treatment units represented by process models (i.e. process model). The formalization of the knowledge base is achieved by the Web Ontology Language (OWL).
The developed data model being the organization structure of the knowledge base describes relations between wastewater parameters and process models to enable for generic representation of process models. Through these parameters for wastewater characterization as well as treatment units can be altered or added to the knowledge base without the requirement to synchronize already included parameter representations or process models. Furthermore the knowledge base describes relations between parameters and properties of water constituents. This allows to track changes of all wastewater parameters which result from modeling of removal efficiency of applied treatment units.
So far two generic treatment units have been represented within the knowledge base. These are separation and conversion units. These two raw types have been applied to represent different types of clarifiers and biological treatment units.
The developed planning algorithm is based on a Means-Ends Analysis (MEA). This is a goal oriented search algorithm that posts goals from wastewater state and limit value restrictions to select those treatment units only that are likely to solve the treatment problem. Regarding this, all treatment units are qualified according to postconditions that describe the effect of each unit. In addition, units are also characterized by preconditions that state the application range of each unit. The developed planning algorithm furthermore allows for the identification of simple cycles to account for moving bed reactor systems (e.g. functional unit of aeration tank and clarifier). The evaluation of identified treatment configurations is achieved by total estimated cost of each configuration.
The planning tool has been tested on five use cases. Some use cases contained multiple sources and sinks. This showed the possibility to identify water reuse capabilities as well as to identify solutions that go beyond end of pipe solutions. Beyond the originated area of application, the planning tool may be used for advanced interrogations. Thereby the knowledge base and planning algorithm may be further developed to address the objectives to identify configurations for any type of material and energy recovery.
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Hacid, Kahina. "Handling domain knowledge in system design models. An ontology based approach." Phd thesis, Toulouse, INPT, 2018. http://oatao.univ-toulouse.fr/20157/7/HACID_kahina.pdf.
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Complex systems models are designed in heterogeneous domains and this heterogeneity is rarely considered explicitly when describing and validating processes. Moreover, these systems usually involve several domain experts and several design models corresponding to different analyses (views) of the same system. However, no explicit information regarding the characteristics neither of the domain nor of the performed system analyses is given. In our thesis, we propose a general framework offering first, the formalization of domain knowledge using ontologies and second, the capability to strengthen design models by making explicit references to the domain knowledgeformalized in these ontology. This framework also provides resources for making explicit the features of an analysis by formalizing them within models qualified as ‘’points of view ‘’. We have set up two deployments of our approach: a Model Driven Engineering (MDE) based deployment and a formal methods one based on proof and refinement. This general framework has been validated on several no trivial case studies issued from system engineering.
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Shankar, Arunprasath. "ONTOLOGY-DRIVEN SEMI-SUPERVISED MODEL FOR CONCEPTUAL ANALYSIS OF DESIGN SPECIFICATIONS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1401706747.
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Hou, Shangjie. "An ontology-based holistic approach for multi-objective sustainable structural design." Thesis, Cardiff University, 2015. http://orca.cf.ac.uk/91138/.
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Building construction industry has significant impact on sustainability. The construction, operation and maintenance of buildings account for approximately 50% of global energy usage and anthropogenic greenhouse gas (GHG) emissions. In recent years, the embodied energy and carbon are identified increasingly important in terms of sustainability throughout building life cycle. Incorporation of sustainable development in building structural design becomes undoubtedly crucial. The effective building design requires smart and holistic tools that can process multi-objective and inter-connected domain knowledge to provide genuine sustainable buildings. With the advancement of information and communication technologies, various methods and techniques have been applied to accomplish the multiple objectives of sustainable development in building design. One of the most successful approaches is building information modelling (BIM), which requires further enhancement of interoperability. The emergence of Semantic Web technology provides more opportunity to improve the information modelling, knowledge management and system integration. The research presented in this thesis investigates how ontology and Semantic Web rules can be used in a knowledge-based holistic system, in order to integrate information about structural design and sustainability, and facilitate decision-making in design process by recommending appropriate solutions for different use cases. A research prototype namely OntoSCS incorporating OWL ontology and SWRL rules has been developed and tested in typical structural design cases. The holistic approach considers five inter-connected dimensions of sustainability, including structural feasibility, embodied energy and carbon, cost, durability and safety. In addition, the selection of structural material supplier and criteria in sustainability assessment are taken into account as well. This research concludes that the Semantic Web technology can be applied to structural design at early stage to provide multi-criteria optimised solution. The methodology and framework employed in this study can be further adapted as a generic multi-criteria and holistic decision support system for other domains in construction sector.
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Tao, Shiqiang. "ONTOLOGY-BASED, INTERFACE-DRIVENDEVELOPMENT OF CLINICAL DATAMANAGEMENT SYSTEMS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1452974125.
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Azzam, Said Rabah. "Developing a compositional ontology alignment framework for unifying business and engineering domains." Thesis, University of Portsmouth, 2012. https://researchportal.port.ac.uk/portal/en/theses/developing-a-compositional-ontology-alignment-framework-for-unifying-business-and-engineering-domains(858b71bb-7570-4c07-a3e6-9d1b3992c9f6).html.
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In the context of the Semantic Web, ontologies refer to the consensual and formal description of shared concepts in a domain. Ontologies are said to be a way to aid communication between humans and machines and also between machines for agent communication. The importance of ontologies for providing a shared understanding of common domains, and as a means for data exchange at the syntactic and semantic level has increased considerably in the last years. Therefore, ontology management becomes a significant task to make distributed and heterogeneous knowledge bases available to the end users. Ontology alignment is the process where ontology from different domains can be matched and processed further together, hence sharing a common understanding of the structure of information among different people. This research starts from a comprehensive review of the current development of ontology, the concepts of ontology alignments and relevant approaches. The first motivation of this work is trying to summarise the common features of ontology alignment and identify underdevelopment areas of ontology alignment. It then works on how complex businesses can be designed and managed by semantic modelling which can help define the data and the relationships between these entities, which provides the ability to abstract different kinds of data and provides an understanding of how the data elements relate. The main contributions of this work is to develop a framework of handling an important category of ontology alignment based on the logical composition of classes, especially under a case that one class from a certain domain becomes a logic prerequisites (assumption) of another class from a different domain (commitment) which only happens if the class from the first domain becomes valid. Under this logic, previously un-alignable classes or miss-aligned classes can be aligned in a significantly improved manner. A well-known rely/guarantee method has been adopted to clearly express such relationships between newly-alignable classes. The proposed methodology has be implemented and evaluated on a realistic case study.
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Li, Chun. "Ontology-driven semantic annotations for multiple engineering viewpoints in computer aided design." Thesis, University of Bath, 2012. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558858.
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Engineering design involves a series of activities to handle data, including capturing and storing data, retrieval and manipulation of data. This also applies throughout the entire product lifecycle (PLC). Unfortunately, a closed loop of knowledge and information management system has not been implemented for the PLC. As part of product lifecycle management (PLM) approaches, computer-aided design (CAD) systems are extensively used from embodiment and detail design stages in mechanical engineering. However, current CAD systems lack the ability to handle semantically-rich information, thus to represent, manage and use knowledge among multidisciplinary engineers, and to integrate various tools/services with distributed data and knowledge. To address these challenges, a general-purpose semantic annotation approach based on CAD systems in the mechanical engineering domain is proposed, which contributes to knowledge management and reuse, data interoperability and tool integration. In present-day PLM systems, annotation approaches are currently embedded in software applications and use diverse data and anchor representations, making them static, inflexible and difficult to incorporate with external systems. This research will argue that it is possible to take a generalised approach to annotation with formal annotation content structures and anchoring mechanisms described using general-purpose ontologies. In this way viewpoint-oriented annotation may readily be captured, represented and incorporated into PLM systems together with existing annotations in a common framework, and the knowledge collected or generated from multiple engineering viewpoints may be reasoned with to derive additional knowledge to enable downstream processes. Therefore, knowledge can be propagated and evolved through the PLC. Within this framework, a knowledge modelling methodology has also been proposed for developing knowledge models in various situations. In addition, a prototype system has been designed and developed in order to evaluate the core contributions of this proposed concept. According to an evaluation plan, cost estimation and finite element analysis as case studies have been used to validate the usefulness, feasibility and generality of the proposed framework. Discussion has been carried out based on this evaluation. As a conclusion, the presented research work has met the original aim and objectives, and can be improved further. At the end, some research directions have been suggested.
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Anjum, Najam A. "Verification of knowledge shared across design and manufacture using a foundation ontology." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/8818.
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Seamless computer-based knowledge sharing between departments of a manufacturing enterprise is useful in preventing unnecessary design revisions. A lack of interoperability between independently developed knowledge bases, however, is a major impediment in the development of a seamless knowledge sharing system. Interoperability, being an ability to overcome semantic and syntactic differences during computer-based knowledge sharing can be enhanced through the use of ontologies. Ontologies in computer science terms are hierarchical structures of knowledge stored in a computer-based knowledge base. Ontologies have been accepted by all as an interoperable medium to provide a non-subjective way of storing and sharing knowledge across diverse domains. Some semantic and syntactic differences, however, still crop up when these ontological knowledge bases are developed independently. A case study in an aerospace components manufacturing company suggests that shape features of a component are perceived differently by the designing and manufacturing departments. These differences cause further misunderstanding and misinterpretation when computer-based knowledge sharing systems are used across the two domains. Foundation or core ontologies can be used to overcome these differences and to ensure a seamless sharing of knowledge. This is because these ontologies provide a common grounding for domain ontologies to be used by individual domains or department. This common grounding can be used by the mediation and knowledge verification systems to authenticate the meaning of knowledge understood across different domains. For this reason, this research proposes a knowledge verification framework for developing a system capable of verifying knowledge between those domain ontologies which are developed out of a common core or foundation ontology. This framework makes use of ontology logic to standardize the way concepts from a foundation and core-concepts ontology are used in domain ontologies and then by using the same principles the knowledge being shared is verified. The Knowledge Frame Language which is based on Common Logic is used for formalizing example ontologies. The ontology editor used for browsing and querying ontologies is the Integrated Ontology Development Environment (IODE) by Highfleet Inc. An ontological product modelling technique is also developed in this research, to test the proposed framework in the scenario of manufacturability analysis. The proposed framework is then validated through a Java API specially developed for this purpose. Real industrial examples experienced during the case study are used for validation.
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Lohse, Niels. "Towards an ontology framework for the integrated design of modular assembly systems." Thesis, University of Nottingham, 2006. http://eprints.nottingham.ac.uk/11446/.
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Next generation manufacturing companies have to become highly responsive in order to succeed in an ever more rapidly changing global market. The ability to effectively develop and adapt their assembly facilities (systems) to changing requirements on demand plays a crucial role in achieving high responsiveness since the assembly process has to deal with the full inherent complexity of increasingly mass-customised products. This work was motivated by the current lack of a holistic assembly system design theory that would enable design environments to address the need for rapid system development and adaptation. The challenge is to create a common environment where domain experts can effectively collaborate while taking advantage of the best practices of their diverse domains. This thesis investigates how a domain ontology can help to overcome those challenges. The approach is taking advantage of the higher levels of standardisation inherent in the modular assembly system paradigm which is considered to be one of the fundamental enabling factors to achieve a high level of adaptation. A new ontology framework has been developed to support the design and adaptation of modular assembly systems (ONTOMAS). The ONTOMAS framework is based on engineering ontology principles structuring the domain using formalisms for aggregation, topology, taxonomies, and system theory principles. A number of design patterns have been identified and formalised to support key design decision-making tasks during the design of modular assembly systems. Furthermore, the function-behaviour-structure paradigm has been applied to capture the characteristics of modular assembly equipment at different levels of abstraction that reflect the specific needs of the engineering design process. The proposed ONTOMAS framework provides a sound foundation for computer based support tools to reduce the assembly system design effort and time while maintaining a high level of quality. An integrated design framework for the requirements driven specification of assembly processes and configuration of modular assembly system has been developed. The design approach applies the new formalisms of ONTOMAS to support the design decision-making activities. The developed ONTOMAS framework has been applied in several industrial and synthetic use cases to verify its applicability and appropriateness. Furthermore, the new ontology and design framework have been used as foundation for the development of a prototype collaborative design environment which allows different domain experts to participate in the design of modular assembly systems.
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Davidson, Christopher. "Applying database and ontology design techniques to a NASA biological research repository." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0000922.
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Ren, Z. "Sustainable design approach underpinned with Life Cycle Impact Assessment(LCIA) and ontology." Thesis, Nottingham Trent University, 2013. http://irep.ntu.ac.uk/id/eprint/75/.
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Sustainable development has been a subject of global interest when people shift the focus from the economy and productivity only to the economy with consideration of the environment and resources on the earth. Manufacturing industry is one of the most crucial sectors that people focused on to make it more sustainable. However, the sustainability for current existing products are not enough to satisfy the requirement of sustainable development within the modern society. Therefore, an approach to design and to optimise product considering ecological impact is to be developed by this research. After review and comparison of popular LCIA methods and tools, the three-tier sustainable design approach considering human labour ecological impact is developed. Design optimisation with eco-constraints using genetic algorithm is followed. Moreover, from a product life cycle point of view, production may not be the least sustainable section. Use and disposal also play important roles in the whole product life cycle. In this case, Ontology is proposed in the research. It is a powerful tool to collect and exchange data of products and manage the relationships among different parts, properties of products, and suppliers in one specific area such as a factory or an industrial estate. Afterwards, The approach is validated by case study. Finally, the sustainable design approach underpinned with life cycle impact assessment (LCIA) and ontology is developed.
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Tessier, Sean Michael. "Ontology-based approach to enable feature interoperability between CAD systems." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41118.
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Data interoperability between computer-aided design (CAD) systems remains a major obstacle in the information integration and exchange in a collaborative engineering environment. The standards for CAD data exchange have remained largely restricted to geometric representations, causing the design intent portrayed through construction history, features, parameters, and constraints to be discarded in the exchange process. In this thesis, an ontology-based framework is proposed to allow for the full exchange of semantic feature data. A hybrid ontology approach is proposed, where a shared base ontology is used to convey the concepts that are common amongst different CAD systems, while local ontologies are used to represent the feature libraries of individual CAD systems as combinations of these shared concepts. A three-branch CAD feature model is constructed to reduce ambiguity in the construction of local ontology feature data. Boundary representation (B-Rep) data corresponding to the output of the feature operation is incorporated into the feature data to enhance data exchange.
The Ontology Web Language (OWL) is used to construct a shared base ontology and a small feature library, which allows the use of existing ontology reasoning tools to infer new relationships and information between heterogeneous data. A combination of OWL and SWRL (Semantic Web Rule Language) rules are developed to allow a feature from an arbitrary source system expressed via the shared base ontology to be automatically classified and translated into the target system. These rules relate input parameters and reference types to expected B-Rep objects, allowing classification even when feature definitions vary or when little is known about the source system. In cases when the source system is well known, this approach also permits direct translation rules to be implemented. With such a flexible framework, a neutral feature exchange format could be developed.
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Sun, Mengmeng. "COBE: A CONJUNCTIVE ONTOLOGY BROWSER AND EXPLORER FOR VISUALIZING SNOMED CT FRAGMENTS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1436373297.
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Lee, Ann Y. Powers Edward C. "Design and implementation of a prototype Ontology Aided Knowledge Discovery Assistant (OAKDA) application." Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FLee_Powers%.pdf.
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Thesis (M.S. in Information Technology Management and M.S. in Computer Science)--Naval Postgraduate School, December 2006.Thesis Advisor(s): Magdi Kamel. "December 2006". Includes bibliographical references (p.177-182). Also available in print.
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Kabilan, Vandana. "Ontology for Information Systems (04IS) Design Methodology : Conceptualizing, Designing and Representing Domain Ontologies." Doctoral thesis, Kista : Data- och systemvetenskap, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4513.
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BRANDAO, ANAROSA ALVES FRANCO. "AN ONTOLOGY-BASED METHOD FOR STRUCTURING AND ANALYSING THE DESIGN OF MULTIAGENT SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8238@1.
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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIORSoluções que utilizam a abordagem multiagentes para sistemas distribuídos e heterogêneos de grande porte têm como característica a coexistência de agentes e objetos. Assim, para acomodar e combinar objetos e agentes pode-seutilizar extensões de linguagens de modelagem orientadas a objetos a fim de representar as novas abstrações associadas aos agentes, tais como papéis, organizações e ambiente. Porém, se já é difícil analisar e estabelecer a boa formação de diagramas descritos em uma linguagem de modelagem orientada a objetos, mais difícil se torna esta tarefa quando a linguagem considerada é uma extensão da primeira, a partir da adição de abstrações que descrevem as características de agência. Esta tese apresenta um método para estruturação e análise de modelos de sistemas multiagentes (SMAs) baseado em ontologias. O método propõe a análise de modelos de projeto de SMAs usando uma abordagem bifásica, onde cada fase analisa diferentes propriedades de projeto de SMA. Os diagramas são analisados isoladamente, em suas propriedades internas, e, posteriormente, aos pares, quando são analisadas as propriedades de interdependência entre os diagramas. Além disso o método também provê meios para indicar ao projetista sugestões de boas práticas de projeto, que podem melhorar sua qualidade final.
Agents are becoming a popular technology for the development of distributed, heterogeneous and always available systems. The application of agent technologies requires extensions to the existing object-oriented modeling languages to accommodate agent-related abstractions such as roles, organizations and environments. If it is difficult to analyze and establish the wellformedness of a set of diagrams of a UML-like object-oriented modeling language, it gets far more complex when the language is extended to add a set of agency related abstractions. This thesis presents an ontology-based method for structuring and analyzing multiagent systems (MAS) design models. The method proposes the analyses of MAS designs based on a two-phase approach that covers different sets of MAS design properties. These properties are the ones related to each individual diagram and the ones associated with pairs of diagrams. The later take into consideration the interdependencies between diagrams. The method also provides features that allow the suggestion of some design guidelines which may improve the design quality.
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Powers, Edward C. "Design and implementation of a prototype Ontology Aided Knowledge Discovery Assistant (OAKDA) application." Thesis, Monterey, California. Naval Postgraduate School, 2006. http://hdl.handle.net/10945/2452.
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The World Wide Web (WWW) has become a major source of easily accessible information for students, professionals, researchers and the general public. However, the volume of information available through the Web is so overwhelming that it is not unusual to get tens of thousands of "hits" when conducting a relatively simple search. Most existing search techniques use brute force based on keyword matches to find related Web pages. While the enormous speed of search engines improves the efficiency of such methods, effectiveness is not improved. The objective of this thesis is to construct and test an ontology-based application to help users identify the most pertinent keywords for a search. By navigating ontologies that describe domains of interest, users are assisted in finding a relevant set of key terms that will aid the search enginees in narrowing, widening or refocusing a Web search. Specifically, the thesis develops an ontology-aided Web search assistant prototype to help users enhance the relevance and precision of the returned results through the use of a context provided by ontologies associated with each search.
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Janse, van Rensburg J., and H. Vermaak. "The design of a JADE compliant manufacturing ontology and accompanying relational database schema." Interim : Interdisciplinary Journal, Vol 10 , Issue 1: Central University of Technology Free State Bloemfontein, 2011. http://hdl.handle.net/11462/333.
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Published ArticleTo enable meaningful and consistent communication between different software systems in a particular domain (such as manufacturing, law or medicine), a standardised vocabulary and communication language is required by all the systems involved. Concepts in the domain about which the systems want to communicate are formalized in an ontology by establishing the meaning of concepts and creating relationships between them. The inputs to this process in found by analysing the physical domain and its processes. The resulting ontology structure is a computer useable representation of the physical domain about which the systems want to communicate. To enable the long term persistence of the actual data contained in these concepts and the enforcement of various business rules, a sufficiently powerful database system is required. This paper presents the design of a manufacturing ontology and its accompanying relational database schema that will be used in a manufacturing test domain.
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Ramadoss, Balaji. "Ontology Driven Model for an Engineered Agile Healthcare System." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5110.
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Healthcare is in urgent need of an effective way to manage the complexity it of its systems and to prepare quickly for immense changes in the economics of healthcare delivery and reimbursement. Centers for Medicare & Medicaid Services (CMS) releases policies affecting inpatient and long-term care hospitals policies that directly affect reimbursement and payment rates. One of these policy changes, a quality-reporting program called Hospital Inpatient Quality Reporting (IQR), will effect approximately 3,400 acute-care and 440 long-term care hospitals. IQR sets guidelines and measures that will contain financial incentives and penalties based on the quality of care provided. CMS, the largest healthcare payer, is aggressively promoting high quality of care by linking payment incentives to outcomes. With CMS assessing each hospital's performance by comparing its Quality Achievements and Quality Improvement scores, there is a growing need and demand to understand these quality measures under the context of patient care, data management and system integration. This focus on patient-centered quality care is difficult for healthcare systems due to the lack of a systemic view of the patient and patient care. This research uniquely addresses the hospital's need to meet these challenges by presenting a healthcare specific framework and methodology for translating data on quality metrics into actionable processes and feedback to produce the desired quality outcome. The solution is based on a patient-care level process ontology, rather than the technology itself, and creates a bridge that applies systems engineering principles to permit observation and control of the system. This is a transformative framework conceived to meet the needs of the rapidly changing healthcare landscape. Without this framework, healthcare is dealing with outcomes that are six to seven months old, meaning patients may not have been cared for effectively. In this research a framework and methodology called the Healthcare Ontology Based Systems Engineering Model (HOB-SEM) is developed to allow for observability and controllability of compartmental healthcare systems. HOB-SEM applies systems and controls engineering principles to healthcare using ontology as the method and the data lifecycle as the framework. The ontology view of patient-level system interaction and the framework to deliver data management and quality lifecycles enables the development of an agile systemic healthcare view for observability and controllability
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Corino, Gianni. "Internet of props : a performative ontology and design framework for the Internet of Things." Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/9511.
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Set in the relatively new and fast developing field of investigation known as Internet of Things (IoT), this research starts by looking at the lack of critical and conceptual reflection on the area. With a main research question that challenges the underlying concepts of the IoT, the study develops a performative design framework to critique the field of investigation. The main corpus consists of: 1. speculative inquiry into the ontological dualisms of ‘objects’ and ‘things’ and the emerging social dimension of humans and non-humans; 2. the identification of an ontological-performative model based on the idea of Props; 3. the entanglement of theory and practice to construct a performative design framework, called the Internet of Props, which includes: an enabling platform (Smarter Planet Lab) and a set of design strategies (Transactional Props) to demonstrate and evaluate this model and framework; 4. a combined-evaluation conversational analysis methodology that assesses the performativity of the setting and the Props, through linguistic and socio-behavioural studies. Inspired by the concepts of ontological theatre, the entanglement of humans and non-humans, and the Internet of People; the IoT is imagined and performed in a theory-driven, practice-based investigation of the Internet of Props, which aims to bring new theoretical and practical knowledge for the future of the IoT.
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Li, Huanyu. "The Design and Implementation of Optimization Approaches for Large Scale Ontology Alignment in SAMBO." Thesis, Linköpings universitet, Databas och informationsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-134930.
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The current World Wide Web provides a convenient way for people to acquire information,but it does not have the ability to manipulate semantics. In other words, peoplecan access data from web pages efficiently but computer programs cannot satisfy effectivedata reuse and sharing. Tim Berners-Lee as the inventor ofWorldWideWeb together withJames Hendler and Ora Lassila, proposed the idea of Semantic Web that is expected as anevolution to existing Web. The knowledge representation for Semantic Web witnessed thedevelopment from extensible makeup language (XML) and resource description framework(RDF) to ontologies. A large quantity of researchers utilize ontologies to expressconcepts, relations and relevant semantics in specific domains. However, different researchersmay have diverse comprehension about knowledge that brings inconsistentinformation in same or similar ontologies. SAMBO is an ontology alignment system that was designed and implemented by ADITof Linköping University in 2005. Shortly after implementation, SAMBO could accomplishmost tasks of ontology alignment. Nevertheless, as the scale grows rapidly, SAMBO couldnot achieve large scale ontology alignment. The primary job of this thesis is to optimizeexisting SAMBO system to fulfill alignment of large scale ontologies. The principal parts of this thesis are as follows. First, we achieve an analysis on currenttop ontology alignment systems, AML and LogMap which are capable of aligning largescale ontologies. This analysis aims to obtain the features in the design of high-quality systems.Then, we analyze existing SAMBO to figure out which aspects need to be optimized.We obtain the result that SAMBO should be improved in data structure, database designand parallel matching. Thus, we propose the design of optimization approaches and givethe implementation. Finally, we evaluate the new system with large scale ontologies andacquire desired results.
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Stephen, Green. "Understanding design impact : a new framework for understanding the potential of design and enhancing future professional practice." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13055.
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Understanding Design Impact: A new framework for understanding the potential of design and enhancing future professional practice. Design is widely recognised as an important driver for economic performance. However, the value of design has proved resistant to quantification despite research attention since the early 1980s. Correlation between design investment and impact has been demonstrated, but not causation. There is considerable interest from policy and professional bodies in what is described here as ‘Design Impact’. Impact can be measured, for example, by return on investment, increases in profitability or cost reductions. However this only crudely captures the economic impact of a design ingredient. Increasingly, social and environmental impacts are also of interest. The design profession sees the potential for better articulation of design impact as a means to increase their influence. The context has been explored through a series of descriptive and prescriptive studies including analysis of 45 DBA Design Effectiveness Award case studies, 304 undergraduate design projects from two institutions over a three year period together with interviews and workshops with senior design professionals and design academics. A new Understanding Design Impact framework is the overall outcome and contribution to knowledge from the work. This bridges between theory and practice and is a powerful basis for placing consideration of design impact at the heart of design activity. A design impact ontology has been developed as a robust foundation to the framework which resolves issues with underlying concepts. An initial version of this ontology is published in The Design Journal and is claimed as a supporting contribution to new knowledge. So too are new ontological classifications of factors which have considerable influence on design impact: Design Influences and Authority and Motivation and Path. These provide fresh perspectives and are worthy of further research consideration. A number of routes are identified for the further development and dissemination of the framework.
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Zhao, Yidan. "An Improved Design and Implementation of the Session-based SAMBO with Parallelization Techniques and MongoDB." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141810.
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The session-based SAMBO is an ontology alignment system involving MySQL to store matching results. Currently, SAMBO is able to align most ontologies within acceptable time. However, when it comes to large scale ontologies, SAMBO fails to reach the target. Thus, the main purpose of this thesis work is to improve the performance of SAMBO, especially in the case of matching large scale ontologies. To reach the purpose, a comprehensive literature study and an investigation on two outstanding large scale ontology system are carried out with the aim of setting the improvement directions. A detailed investigation on the existing SAMBO is conducted to figure out in which aspects the system can be improved. Parallel matching process optimization and data management optimization are determined as the primary optimization goal of the thesis work. In the following, a few relevant techniques are studied and compared. Finally, an optimized design is proposed and implemented. System testing results of the improved SAMBO show that both parallel matching process optimization and data management optimization contribute greatly to improve the performance of SAMBO. However the execution time of SAMBO to align large scale ontologies with database interaction is still unacceptable.
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Travillian, Ravensara S. "Ontology recapitulates phylogeny : design, implementation and potential for usage of a comparative anatomy information system /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/7156.
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Lin, Tsung-sheng, and 林宗聖. "Injection Mold Design with Ontology." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/43713629909498579228.
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碩士國立臺灣科技大學
機械工程系
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Design of injection mold for plastics parts have been developed and investigated for many years. Conventionally, the basic design knowledge is learned from shop floor practice, books and senior engineers. When senior engineers quit or retire, the knowledge and experience can not be fully transferred to the successors. For knowledge sharing and reusing it should establish a complete mold design knowledge management system to collect all the useful mold design knowledge and to assist in solving the defects of injected parts. This research is to develop a professional mold knowledge system based on Ontology. Many empirical cases have been implemental to cooperate with Microsoft Access software as a way to look up the reason that cause defects of plastics products. Thus, the users can search for professional help with this developed database efficiently, share and reuse the professional knowledge to meet the needs of the industry.