Academic literature on the topic 'Ontology design'

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Journal articles on the topic "Ontology design"

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Vasconcellos, Wander dos Santos, Kate Revoredo, and Fernanda Baião. "How Can Ontology Design Patterns Help Ontology Refinement?" Learning and Nonlinear Models 12, no. 1 (2014): 4–16. http://dx.doi.org/10.21528/lnlm-vol12-no1-art1.

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WANG, YAPING, GUIHUA HAN, JIANGHUA GE, JINGRUI QI, and JIANYUAN XU. "RESEARCH ON DESIGN METHOD OF DEMAND-DRIVEN PRODUCT CONFIGURATION FOR MASS CUSTOMIZATION." Journal of Advanced Manufacturing Systems 10, no. 01 (June 2011): 117–25. http://dx.doi.org/10.1142/s0219686711002053.

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This paper proposed demand-driven personalized product configuration design method. A variety of customer orders were clustered and fuzzy transformed; using ontology's feature to establish customer demand ontology model; in order to enable the product family to meet the dynamic demand of customers, established mapping relationship of customer demands and product family; using ontology to express product family model, achieved mapping of customer needs ontology and product family ontology, and improved efficiency of product configuration. Finally, we take planetary reducer as an example to demonstrate the feasibility of the method.
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Zhang, Kun, Yoshifumi Nishida, Koji Kitamura, and Yoshiki Mikami. "1026 Desing ontology for kids design database." Injury Prevention 22, Suppl 2 (September 2016): A366.1—A366. http://dx.doi.org/10.1136/injuryprev-2016-042156.1026.

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Scharffe, François, Ondřej Zamazal, and Dieter Fensel. "Ontology alignment design patterns." Knowledge and Information Systems 40, no. 1 (April 26, 2013): 1–28. http://dx.doi.org/10.1007/s10115-013-0633-y.

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Bennett, Mike. "Ontology design patterns and semantic abstractions in ontology integration." Applied Ontology 12, no. 3-4 (November 2, 2017): 341–49. http://dx.doi.org/10.3233/ao-170187.

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Song, Hua Zhu, Khamis Abdul Latif Khamis, and Xuan Zhu Song. "Ontology Design in Visual Stock Information System." Advanced Materials Research 225-226 (April 2011): 771–75. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.771.

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The technology of visualization should be merged with semantic technology for abstracting and describing information from the processed DataStream, transaction data and high dimension data in the stock market. This paper proposed the ontology design in visual Stock Information System (VSIS) which combined domain information with function requirements. Firstly, use case diagram and ontology design principles of VSIS were given. Then, according to different information sources and learning theory, learning procedure, validation procedure and their interactions comprised the ontology learning cycle, whose result is VSIS top ontology pools. Next, the ontology in VSIS was defined, whose top ontology covered stock ontology, agent ontology, enquire ontology, visualization ontology, interface ontology, DB operation ontology and error processing ontology. Finally, the defined ontology was validated by Protégé.
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Mata, Ivan, Georges Fadel, and Gregory Mocko. "Toward automating affordance-based design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 29, no. 3 (July 28, 2015): 297–305. http://dx.doi.org/10.1017/s0890060415000256.

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AbstractThe objective of this research is to develop a computational representation of knowledge associated with affordance-based design (ABD). The ABD ontology formalizes the entities, properties, and relationships within the domains of ABD. The ontology enables designers to describe the affordances of existing products and specify the intended affordances of future products in line with ABD. The ontology consists of 14 concepts and 5 relationships. The ontology is developed using Protégé 4.3 and DL-query to query and reason with the ontology. The ontology is demonstrated using a consumer vacuum cleaner. The formal ontology serves as the basis for developing computer support for ABD applications. When implemented, these design tools will help designers manage the affordances of artifacts being designed, specifying the interacting entities of every affordance when a three-dimensional model of the artifact is available. Further, these software tools could be used to support ABD methods.
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Blomqvist, Eva, Pascal Hitzler, Krzysztof Janowicz, Adila Krisnadhi, Tom Narock, and Monika Solanki. "Considerations regarding Ontology Design Patterns." Semantic Web 7, no. 1 (November 10, 2015): 1–7. http://dx.doi.org/10.3233/sw-150202.

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Li, Guan Yu, Yan Zhao, and Hai Yan Li. "Imprecise Ontology Merging Framework Design." Applied Mechanics and Materials 135-136 (October 2011): 578–84. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.578.

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Precision is selected unwillingly by human being when dealing with imprecise objects because of the limitation of human cognitive ability, which deviates from the substance of the processed object when it gets the feasible way of solution. Nowadays, in terms of the research in the Ontology and the Semantic Web, the time for the transformation from the “precise phase” to the “imprecise phase” is ripe. The interoperability among ontologies is seriously blocked by the heterogeneity of ontologies constructed under distributed environment. In this case, Ontology merging in the same domain is the most effective method to solve ontology heterogeneity. Firstly, the improved fuzziness and the R-improved roughness are respectively defined and verified as the more efficient measure way for the fuzziness and roughness. Secondly, a composite appraisal method of fuzzy-rough relevancy in combination of the fuzzy set theory and the rough set theory is proposed, which can serve as the basis of the inquiry and reasoning of the imprecise ontology, the transformation reference of the fuzzy roughness set or the rough fuzziness set. Lastly, by employing semantic bridge generator and conflict processor, a novel multiple-mapping-based imprecise ontology merging framework is proposed. The example verification reveals that both the imprecise ontology merging efficiency can be improved and the merging source imprecise ontologies into object imprecise ontology can be done automatically under the semantic web environment.
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Křemen, P., and Z. Kouba. "Ontology-Driven Information System Design." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 42, no. 3 (May 2012): 334–44. http://dx.doi.org/10.1109/tsmcc.2011.2163934.

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Dissertations / Theses on the topic "Ontology design"

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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 26262
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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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.
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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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Books on the topic "Ontology design"

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World without design: The ontological consequence of naturalism. Oxford: Clarendon Press, 2002.

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Gargouri, Faiez. Ontology theory, management and design: Advanced tools and models. Hershey, PA: Information Science Reference, 2010.

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Ontology representation: Design patterns and ontologies that make sense. Amsterdam: IOS Press, 2009.

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C, Varzi Achille, and Vieu Laure, eds. Formal ontology in information systems: Proceedings of the third conference (FOIS-2004). Amsterdam: IOS Press, 2004.

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FOIS (Conference) (6th 2010 Toronto, Canada). Formal ontology in information systems: Proceedings of the Sixth International Conference (Fois 2010). Amsterdam: IOS Press, 2010.

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(2006), FOIS (2006). Formal ontology in information systems: Proceedings of the fourth international conference (FOIS 2006). Amsterdam: IOS Press, 2006.

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FOIS (Conference) (5th 2008 Saarbrücken, Germany). Formal ontology in information systems: Proceedings of the Fifth International Conference (FOIS 2008). Amsterdam, Netherlands: IOS Press, 2008.

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Chris, Welty, Smith Barry 1952-, SIGART, and Association for Computing Machinery, eds. Formal ontology in information systems: Collected papers from the second International Conference, October 17th-19th, 2001, the Cliff House, Ogunquit, Maine, USA. New York: Association for Computing Machinery, 2001.

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Ogatha, Keji. Zur Philharmonie der Natur: Versuch einer ontologischen Ethik. Münster: Agenda Verlag, 2002.

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1959-, Sheth A., ed. The semantic web: ISWC 2008 : 7th International Semantic Web Conference, ISWC 2008, Karlsruhe, Germany, October 26-30, 2008 : proceedings. Berlin: Springer, 2008.

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Book chapters on the topic "Ontology design"

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Hadzic, Maja, Pornpit Wongthongtham, Tharam Dillon, and Elizabeth Chang. "Ontology Design Approaches." In Ontology-Based Multi-Agent Systems, 75–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01904-3_5.

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Gangemi, Aldo, and Valentina Presutti. "Ontology Design Patterns." In Handbook on Ontologies, 221–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92673-3_10.

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Notari, Michele P., Michael Hielscher, and Mark King. "Educational Apps Ontology." In Mobile Learning Design, 83–96. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-10-0027-0_5.

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Batista, Miguel Ángel Herrera. "Design Research." In The Ontology of Design Research, 9–23. New York : Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003022732-2.

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Vincent, Julian F. V. "An Ontology of Biomimetics." In Biologically Inspired Design, 269–85. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5248-4_11.

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Bosia, Daniel. "Heft, Ontology and Horizon." In Design Engineering Refocused, 110–11. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119164838.part2.

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Presutti, Valentina, Eva Blomqvist, Enrico Daga, and Aldo Gangemi. "Pattern-Based Ontology Design." In Ontology Engineering in a Networked World, 35–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24794-1_3.

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Casellas, Núria. "Methodologies, Tools and Languages for Ontology Design." In Legal Ontology Engineering, 57–107. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1497-7_3.

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Hadzic, Maja, Pornpit Wongthongtham, Tharam Dillon, and Elizabeth Chang. "Design Methodology for Integrated Systems - Part I (Ontology Design)." In Ontology-Based Multi-Agent Systems, 111–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01904-3_7.

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de Almeida Falbo, Ricardo, Monalessa Perini Barcellos, Julio Cesar Nardi, and Giancarlo Guizzardi. "Organizing Ontology Design Patterns as Ontology Pattern Languages." In The Semantic Web: Semantics and Big Data, 61–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38288-8_5.

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Conference papers on the topic "Ontology design"

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Al Parvez, Abdullah, Markus Stumptner, Adrian Barbulescu, and Haibin Liu. "Ontology-based conceptual payload design — Requirements Ontology." In 2012 International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2012. http://dx.doi.org/10.1109/iscit.2012.6380986.

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Roy, R., J. I. Bailey, and R. G. L. Hodges. "Development of a Design Reuse View of Cutting Tool Design Ontology." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dac-48738.

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Knowledge attrition in the cutting tool industry can be mitigated and also the efficiency of the design process can be improved if past design solutions, which are the embodiment of rich expert knowledge, are made easily accessible to the designer for reuse. An effort is underway to realize this desirable situation at Widia Valenite, a company concerned with the design and manufacture of cutting tools. An ontology of cutting tool design exists, however this ontology is too detailed for designers who want quick access to past designs to satisfy new design problems. The potential of this ontology is only realized if a reuse view of the ontology is taken to retrieve design from a database of designs. This work presents the development and validation of the information requirements, in the form of descriptor terms, selected from the ontology for which designers make data entry that allows relevant past designs to be recalled. After these descriptor terms are identified, their success in recalling relevant past designs is demonstrated within a CBR application.
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Gomes, Angela, Adriana S. Vivacqua, and Ana Cristina B. Garcia. "Troubleshooting collaborative ontology design." In 2009 13th International Conference on Computer Supported Cooperative Work in Design. IEEE, 2009. http://dx.doi.org/10.1109/cscwd.2009.4968050.

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Ameri, Farhad, and Boonserm Kulvatunyou. "Modeling a Supply Chain Reference Ontology Based on a Top-Level Ontology." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98278.

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Abstract Several supply-chain ontologies have been introduced in the past decade with the promise of enabling supply chain interoperability. However, the existing supply-chain ontologies have several gaps with respect to completeness, logical consistency, domain accuracy, and the development approach. In this work, we propose a new, supply-chain, reference ontology that is 1) based on an existing top-level ontology and 2) developed using a collaborative, ontology-development, best practice. We chose this approach because empirical studies have shown the usefulness of adopting a top-level ontology both for improving the efficiency of the development process and enhancing the quality of the resulting ontology. The proposed proof-of-concept reference ontology is developed in the context of the Industrial Ontology Foundry (IOF). IOF is an international effort aimed at providing a coherent set of modular and publicly-available ontologies for the manufacturing sector. Although the proposed reference ontology is still at the draft stage, this paper shows that it has already benefited from the collaborative development process that involves inputs from the other working groups within IOF. Additionally, as a way to validate the proposed reference ontology, an application ontology related to a supplier discovery and evaluation use case is derived from the reference ontology and tested.
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Kim, OkJoon, Uma Jayaram, Sankar Jayaram, and Lijuan Zhu. "An Ontology Mapping Application Using a Shared Ontology Approach and a Bridge Ontology." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87754.

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This paper presents our continuing work to develop methods to exchange product knowledge in the semantic level in the CAD/CAE domains. We present an approach based on a shared ontology, in which a higher level of ontologies are shared among lower levels of ontologies. Key mapping strategies, such as Equivalency, Attribute Similarity, Composition Similarity, and Inheritance Similarity are defined to map concepts and properties defined in a product design domain and an assembly simulation domain. In addition, a Bridge Ontology is designed to store information obtained from mapping processes and construct a link between different knowledge repositories. An Ontology Mapping Application (OMA) which brings together all these elements has been designed and implemented. It is a Java-based application that allows the user to load source and target ontologies, calculate concept and property similarities between them, display the mapping results, and output a corresponding Bridge Ontology.
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Ming, Zhenjun, Yan Yan, Guoxin Wang, Jitesh H. Panchal, Chung Hyun Goh, Janet K. Allen, and Farrokh Mistree. "Ontology-Based Representation of Design Decision Hierarchies." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59405.

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It is efficacious to capture and represent the knowledge for decision support in engineering design. Ontology is a promising knowledge modeling scheme in the engineering domain. In this paper, an ontology is proposed for capturing, representing and documenting the knowledge related to hierarchical decisions in the design of complex engineered systems. The ontology is developed based on the coupled Decision Support Problem (DSP) construct, taking into consideration the requirements for a computational model that represents a decision hierarchy. Key to the ontology is the concept of two classes, namely, Process which represents the basic hierarchy building blocks where the DSPs are embedded, and Interface which represents the DSP information flows that link different Processes to a hierarchy. The efficacy of the ontology is demonstrated using a portal frame design example.
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"ONTOLOGY DESIGN THROUGH MODULAR REPOSITORIES." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002299201920199.

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Cao, Dongxing, Ming Wang Fu, Yongmao Gu, and Haipeng Jia. "Port-Based Ontology Modeling for Product Conceptual Design." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49726.

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Ontology has been known as an important means to represent design knowledge in product development, however, most ontology creation has not yet been systematically carried out. Port, as the location of intended interaction between a component and its enviornment, plays an important role in product conceptual design. It constitutes the interface of a component and defines its boundary. This paper introduces an approach, it is convenient to abstractly represent the intended exchange of signals, energy and/or material, and creat and manage port-based domain ontology, to port-based ontology modeling (PBOM) for product conceptual design. In this paper, port concept and port functional description through using natural language are first presented and their semantic synthesis is used to describe port ontology. Secondly, an ontology repository which contains the assorted primitive concepts and primitive knowledge to map the component connections and interactions is built. Meanwhile a model of port-based multi-views which contains functional view, behavior view and configuration view is articulated, and the attributes and taxonomy of ports in a hierarchy are presented. Next, a port-based ontology language (PBOL) is described to represent the process of port ontology refinement, and a port-based FBS modeling framework is constructed to describe system configuration. Furthermore, a formal knowledge framework to manage comprehensive knowledge is proposed, which could help designers create, edit, organize, represent and visualize product knowledge. Finally, a revised tape case is employed to validate the efficiency of the port ontology for product conceptual design and illustrate its application.
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Lanin, Viacheslav, and Sofia Philipson. "Academic Style Marker Ontology Design." In 9th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006501701890194.

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Lantow, Birger, Kurt Sandkuhl, and Vladimir Tarasov. "Ontology Reuse - Experiences from Ontology Design Pattern Selection and Integration." In 7th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005586301630170.

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