Journal articles: 'Content Ontology Design Patterns'

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Dorodnykh, N. O., O. A. Nikolaychuk, and A. Y. Yurin. "Using UML class diagrams for content ontology design patterns engineering." Journal of Physics: Conference Series 1801, no. 1 (February 1, 2021): 012026. http://dx.doi.org/10.1088/1742-6596/1801/1/012026.

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Lomov, P. A. "AUTOMATION OF SYNTHESIS OF COMPOSITE CONTENT ONTOLOGY DESIGN PATTERN." Ontology of designing 6, no. 2 (2016): 162–72. http://dx.doi.org/10.18287/2223-9537-2016-6-2-162-172.

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Cavaliere, Danilo, Vincenzo Loia, and Sabrina Senatore. "Towards an Ontology Design Pattern for UAV Video Content Analysis." IEEE Access 7 (2019): 105342–53. http://dx.doi.org/10.1109/access.2019.2932442.

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LI, ZHANJUN, and KARTHIK RAMANI. "Ontology-based design information extraction and retrieval." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 21, no. 2 (March 19, 2007): 137–54. http://dx.doi.org/10.1017/s0890060407070199.

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Because of the increasing complexity of products and the design process, as well as the popularity of computer-aided documentation tools, the number of electronic and textual design documents being generated has exploded. The availability of such extensive document resources has created new challenges and opportunities for research. These include improving design information retrieval to achieve a more coherent environment for design exploration, learning, and reuse. One critical issue is related to the construction of a structured representation for indexing design documents that record engineers' ideas and reasoning processes for a specific design. This representation should explicitly and accurately capture the important design concepts as well as the relationships between these concepts so that engineers can locate their documents of interest with less effort. For design information retrieval, we propose to use shallow natural language processing and domain-specific design ontology to automatically construct a structured and semantics-based representation from unstructured design documents. The design concepts and relationships of the representation are recognized from the document based on the identified linguistic patterns. The recognized concepts and relationships are joined to form a concept graph. The integration of these concept graphs builds an application-specific design ontology, which can be seen as the structured representation of the content of the corporate document repository, as well as an automatically populated knowledge base from previous designs. To improve the performance of design information retrieval, we have developed ontology-based query processing, where users' requests are interpreted based on their domain-specific meanings. Our approach contrasts with the traditionally used keyword-based search. An experiment to test the retrieval performance is conducted by using the design documents from a product design scenario. The results demonstrate that our method outperforms the keyword-based search techniques. This research contributes to the development and use of engineering ontology for design information retrieval.

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Braham, Buendía, Khemaja, and Gargouri. "Generation of Adaptive Mobile Applications Based on Design Patterns for User Interfaces." Proceedings 31, no. 1 (November 20, 2019): 19. http://dx.doi.org/10.3390/proceedings2019031019.

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Generating mobile apps represents a big challenge in several areas, such as considering audience needs, adapting their user interfaces to such needs, dealing with design constraints or using different development technologies. The present work seeks to examine how design patterns can help to support the generation of this kind of adaptive mobile application. In particular, design patterns related to user interfaces are reviewed, and an ontology-based framework is proposed to manage their pattern descriptions and associated rules. Such a framework enables a more versatile and powerful organization of mobile interface items, as well as their adaptation to context changes and user requirements in specific scenarios. An example of adaptive mobile application has been developed to show the suitability of the proposed framework, and the application usability has been evaluated in terms of satisfaction, learnability, and efficiency.

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Ali, Shaukat, Shah Khusro, Irfan Ullah, Akif Khan, and Inayat Khan. "SmartOntoSensor: Ontology for Semantic Interpretation of Smartphone Sensors Data for Context-Aware Applications." Journal of Sensors 2017 (2017): 1–26. http://dx.doi.org/10.1155/2017/8790198.

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The integration of cheap and powerful sensors in smartphones has enabled the emergence of several context-aware applications and frameworks. However, the available smartphone context-aware frameworks are static because of using relational data models having predefined usage of sensory data. Importantly, the frameworks lack the soft integration of new data types and relationships that appear with the emergence of new smartphone sensors. Furthermore, sensors generate huge data that intensifies the problem of too much data and not enough knowledge. Smarting of smartphone sensory data is essential for advanced analytical processing, integration, inferencing, and interpretation by context-aware applications. In order to achieve this goal, novel smartphone sensors ontology is required for semantic modeling of smartphones and sensory data, which is the main contribution of this paper. This paper presents SmartOntoSensor, a lightweight mid-level ontology that has been developed using NeOn methodology and Content Ontology Design pattern. The ontology describes smartphone and sensors from different aspects including platforms, deployments, measurement capabilities and properties, observations, data fusion, and context modeling. SmartOntoSensor has been developed using Protégé and evaluated using OntoQA, SPARQL, and experimental study. The ontology is also tested by integrating into ModeChanger application that leverages SmartOntoSensor for automatic changing of smartphone modes according to the varying contexts. We have obtained promising results that advocate for the improved ontological design and applications of SmartOntoSensor.

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Roldan-Molina, Gabriela R., Jose R. Mendez, Iryna Yevseyeva, and Vitor Basto-Fernandes. "Ontology Fixing by Using Software Engineering Technology." Applied Sciences 10, no. 18 (September 11, 2020): 6328. http://dx.doi.org/10.3390/app10186328.

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This paper presents OntologyFixer, a web-based tool that supports a methodology to build, assess, and improve the quality of ontology web language (OWL) ontologies. Using our software, knowledge engineers are able to fix low-quality OWL ontologies (such as those created from natural language documents using ontology learning processes). The fixing process is guided by a set of metrics and fixing mechanisms provided by the tool, and executed primarily through automated changes (inspired by quick fix actions used in the software engineering domain). To evaluate the quality, the tool supports numerical and graphical quality assessments, focusing on ontology content and structure attributes. This tool follows principles, and provides features, typical of scientific software, including user parameter requests, logging, multithreading execution, and experiment repeatability, among others. OntologyFixer architecture takes advantage of model view controller (MVC), strategy, template, and factory design patterns; and decouples graphical user interfaces (GUI) from ontology quality metrics, ontology fixing, and REST (REpresentational State Transfer) API (Application Programming Interface) components (used for pitfall identification, and ontology evaluation). We also separate part of the OntologyFixer functionality into a new package called OntoMetrics, which focuses on the identification of symptoms and the evaluation of the quality of ontologies. Finally, OntologyFixer provides mechanisms to easily develop and integrate new quick fix methods.

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JIMÉNEZ, A., M. C. SUÁREZ-FIGUEROA, A. MATEOS, A. GÓMEZ-PÉREZ, and M. FERNÁNDEZ-LÓPEZ. "A MAUT APPROACH FOR REUSING DOMAIN ONTOLOGIES ON THE BASIS OF THE NeOn METHODOLOGY." International Journal of Information Technology & Decision Making 12, no. 05 (September 2013): 945–68. http://dx.doi.org/10.1142/s021962201340004x.

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Knowledge resource reuse is becoming a widespread approach in the ontology engineering field because it can speed up the ontology development process. In this context, the NeOn Methodology specifies some guidelines for reusing different types of knowledge resources (ontologies, nonontological resources, and ontology design patterns). These guidelines prescribe how to perform the different activities involved in any of the diverse types of reuse processes. One such activity is to select the best knowledge resources for reuse in an ontology development. This selection activity is a complex decision-making problem involving conflicting objectives, like understandability, integration or reliability. We propose a multi-attribute utility theory (MAUT) approach to deal with the selection of the best domain ontologies for reuse, stressing the identification of attributes to measure ontology performances. We take advantage of the sensitivity analysis tools provided by the GMAA system, a PC-based decision support system based on an additive multi-attribute utility model, to exploit imprecise information on the inputs. An example concerning the selection of a subset of ontologies for reuse in the development of a new ontology in the sports domain illustrates the approach.

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Wang, Feng, Lan Fen Lin, and Zhou Yang. "An Ontology-Based Automatic Semantic Annotation Approach for Patent Document Retrieval in Product Innovation Design." Applied Mechanics and Materials 446-447 (November 2013): 1581–90. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1581.

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Patent retrieval plays a very important role in product innovation design. However, current patent retrieval approaches lack semantic comprehension and association, and usually cannot capture the implicit useful knowledge at a semantic level. In order to improve the traditional patent search, this paper proposes a novel ontology-based automatic semantic annotation approach based on the thorough analysis of patent documents, which combines both structure and content characteristics, and integrates multiple techniques from various aspects. Multilayer semantic model is established to realize unified semantic representation. The approach first utilizes template schemes to extract the structure information from patent documents, and then identifies semantics of entities and relations between entities from the content based on natural language processing techniques and domain knowledge, and at last employs a heuristic pattern learning method to abstract patent technical features. Case study is provided to show that our approach can acquire multi-level patent semantic knowledge from multiple perspectives, and discover semantic correlations between patent documents, which can further promote the accurate patent semantic retrieval effectively.

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Smaili, Fatima Zohra, Xin Gao, and Robert Hoehndorf. "Formal axioms in biomedical ontologies improve analysis and interpretation of associated data." Bioinformatics 36, no. 7 (December 10, 2019): 2229–36. http://dx.doi.org/10.1093/bioinformatics/btz920.

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Abstract Motivation Over the past years, significant resources have been invested into formalizing biomedical ontologies. Formal axioms in ontologies have been developed and used to detect and ensure ontology consistency, find unsatisfiable classes, improve interoperability, guide ontology extension through the application of axiom-based design patterns and encode domain background knowledge. The domain knowledge of biomedical ontologies may have also the potential to provide background knowledge for machine learning and predictive modelling. Results We use ontology-based machine learning methods to evaluate the contribution of formal axioms and ontology meta-data to the prediction of protein–protein interactions and gene–disease associations. We find that the background knowledge provided by the Gene Ontology and other ontologies significantly improves the performance of ontology-based prediction models through provision of domain-specific background knowledge. Furthermore, we find that the labels, synonyms and definitions in ontologies can also provide background knowledge that may be exploited for prediction. The axioms and meta-data of different ontologies contribute to improving data analysis in a context-specific manner. Our results have implications on the further development of formal knowledge bases and ontologies in the life sciences, in particular as machine learning methods are more frequently being applied. Our findings motivate the need for further development, and the systematic, application-driven evaluation and improvement, of formal axioms in ontologies. Availability and implementation https://github.com/bio-ontology-research-group/tsoe. Supplementary information Supplementary data are available at Bioinformatics online.

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Kwakye, Michael Mireku. "Conceptual Model and Design of Semantic Trajectory Data Warehouse." International Journal of Data Warehousing and Mining 16, no. 3 (July 2020): 108–31. http://dx.doi.org/10.4018/ijdwm.2020070106.

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The trajectory patterns of a moving object in a spatio-temporal domain offers varied information in terms of the management of the data generated from the movement. The query results of trajectory objects from the data warehouse are usually not enough to answer certain trend behaviours and meaningful inferences without the associated semantic information of the trajectory object or the geospatial environment within a specified purpose or context. This article formulates and designs a generic ontology modelling framework that serves as the background model platform for the design of a semantic data warehouse for trajectories. The methodology underpins on higher granularity of data as a result of pre-processed and extract-transformed-load (ETL) data so as to offer efficient semantic inference to the underlying trajectory data. Moreover, the modelling approach outlines the thematic dimensions that offer a design platform for predictive trend analysis and knowledge discovery in the trajectory dynamics and data processing for moving objects.

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Chen, Keliang, Yunxiao Zu, and Weizheng Ren. "Research and Design of Knowledge System Construction System Based on Natural Language Processing." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 12 (November 2019): 1959038. http://dx.doi.org/10.1142/s0218001419590389.

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The digital processing of content resources has subverted the traditional paper content processing model and has also spread widely. The digital resources processed by text structure need to be structured and processed by professional knowledge, which can be saved as a professional digital content resource of knowledge base and provide basic metadata for intelligent knowledge service platform. The professional domain-based knowledge system construction system platform explored in this study is designed based on natural language processing. Natural language processing is an important branch of artificial intelligence, which is the application of artificial intelligence technology in linguistics. The system first extracts the professional thesaurus and domain ontology in the digital resources and then uses the new word discovery algorithm based on the label weight designed by artificial intelligence technology to intelligently extract and clean the new words of the basic thesaurus. At the same time, the relationship system between knowledge points and elements is established to realize the association extraction of targeted knowledge points, and finally the output content is enriched from knowledge points into related knowledge systems. In order to improve the scalability and universality of the system, the extended architecture of the thesaurus, algorithms, computational capabilities, tags, and exception thesaurus was taken into account when designing. At the same time, the implementation of “artificial intelligence [Formula: see text] manual assistance” was adopted. On the basis of improving the system availability, the experimental basis of the optimization algorithm is provided. The results of this research will bring an artificial intelligence innovation after the digitization to the publishing industry and will transform the content service into an intelligent service based on the knowledge system.

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Zongcheng, Li, and Li Dejia. "Framework of Citizen-Autonomous Alliance for Elimination of Power Alienation: Rebuilt of Management (II) for New Civilization." Paradigm 23, no. 2 (September 2, 2019): 219–37. http://dx.doi.org/10.1177/0971890719865157.

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According to the analysis of this series of papers, in the old civilized world for thousands of years, theocracies, tyrancracies and timocracies, along with the later deify-overlord’s sovereignty, party-tyrant’s sovereignty and plutocrat’s sovereignty are the major powers which dominate all things. This series of papers put forth the hierarchical analysis sequence of ontology: arche – paradigm – pattern – structure – factors, and thus the analytic framework of the ontology and its axiomatism for the power ecosphere of the world is set. For the new civilized world to be created, the recombination of interests, the reconstruction of human rights and the reengineering of sovereignty should be the basic content of the rebuilt of dynamic foundation. We should rebuild the sovereignty, with citizen’s sovereignties as the core. Thus this paper establishes the design basis of the ontological dynamics for the synthetic study of inter-discipline on the citizen-autonomous commonwealth.

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Mazimwe, Allan, Imed Hammouda, and Anthony Gidudu. "An Empirical Evaluation of Disaster Data Interoperability—A Case of Uganda." ISPRS International Journal of Geo-Information 8, no. 11 (October 26, 2019): 484. http://dx.doi.org/10.3390/ijgi8110484.

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One of the grand challenges of disaster management is for stakeholders to be able to discover, access, integrate and analyze task-appropriate disaster data together with their associated algorithms and work-flows. Even with a growing number of initiatives to publish disaster data using open principles, integration and reuse are still difficult due to existing interoperability barriers within datasets. Several frameworks for assessing data interoperability exist but do not generate best practice solutions to existing barriers based on the assessment they use. In this study, we assess disaster data interoperability in Uganda and identify generic solutions to interoperability challenges in the context of disaster data. Semi-structured interviews and focus group discussions were used to collect qualitative data from stakeholders in the disaster sector in Uganda. Data interoperability was measured to provide an understanding of interoperability in the disaster sector. Interoperability maturity is measured using qualitative methods, while data compatibility metrics are computed from identifiers in the RDF-triple model. Results indicate high syntactic and technical interoperability maturity for disaster data. On the contrary, there exists considerable semantic and legal interoperability barriers that hinder disaster data integration and reuse. A mapping of the interoperability challenges in the disaster management sector to solutions reveals a potential to reuse established patterns for managing interoperability. These include; the federated pattern, linked data patterns, broadcast pattern, rights and policy harmonization patterns, dissemination and awareness pattern, ontology design patterns among others. Thus a systematic approach to combining patterns is critical to managing data interoperability barriers among actors in the disaster management ecosystem.

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Otmani, Nassim Abdeldjallal, Malik Si-Mohammed, Catherine Comparot, and Pierre-Jean Charrel. "Ontology-based approach to enhance medical web information extraction." International Journal of Web Information Systems 15, no. 3 (August 19, 2019): 359–82. http://dx.doi.org/10.1108/ijwis-03-2018-0017.

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Purpose The purpose of this study is to propose a framework for extracting medical information from the Web using domain ontologies. Patient–Doctor conversations have become prevalent on the Web. For instance, solutions like HealthTap or AskTheDoctors allow patients to ask doctors health-related questions. However, most online health-care consumers still struggle to express their questions efficiently due mainly to the expert/layman language and knowledge discrepancy. Extracting information from these layman descriptions, which typically lack expert terminology, is challenging. This hinders the efficiency of the underlying applications such as information retrieval. Herein, an ontology-driven approach is proposed, which aims at extracting information from such sparse descriptions using a meta-model. Design/methodology/approach A meta-model is designed to bridge the gap between the vocabulary of the medical experts and the consumers of the health services. The meta-model is mapped with SNOMED-CT to access the comprehensive medical vocabulary, as well as with WordNet to improve the coverage of layman terms during information extraction. To assess the potential of the approach, an information extraction prototype based on syntactical patterns is implemented. Findings The evaluation of the approach on the gold standard corpus defined in Task1 of ShARe CLEF 2013 showed promising results, an F-score of 0.79 for recognizing medical concepts in real-life medical documents. Originality/value The originality of the proposed approach lies in the way information is extracted. The context defined through a meta-model proved to be efficient for the task of information extraction, especially from layman descriptions.

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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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Zhitomirsky-Geffet, Maayan, and Yigal Maman. "“Wisdom of the crowds” and online information reliability." Online Information Review 38, no. 3 (April 29, 2014): 417–35. http://dx.doi.org/10.1108/oir-07-2013-0176.

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Purpose – The purpose of this paper is to determine whether the quality and reliability of websites’ content can be assessed through the lens of “wisdom of the crowds”. In particular as a case study the authors examine the information supplied over time on several prominent Israeli real estate websites. Design/methodology/approach – The Israeli real estate market was selected for the study, since there are many large, popular and dynamic real estate websites that feature hundreds of thousands of ads, representing most of the supply of real estate properties in the country. The authors built an automatic, ontology-based system that downloaded advertisements from three selected websites every two weeks for a number of months and checked for changes in these advertisements over time. The authors conjecture that wisdom of the crowds is mostly reflected by the information changes on the websites, since they indicate the anticipated market trends. Hence the authors developed a number of statistical measures to comparatively analyse trends of information changes on these websites, and assess their reliability compared to the actual market data and tendencies. Findings – The primary results suggest similar information change trends amongst all the websites. Surprisingly, although some properties did not sell over time, sellers generally did not lower their asking price and were willing to wait. Sellers even raised their asking price, apparently in anticipation of future price increases. Comparison of recurring trends among the websites with the trends of the real market during the same time period and a few months after reveals that wisdom of the crowds is only partially effective as an indicator and predictor of website content quality: it correctly reflects the fluctuation in demand, but not in the prices. Research limitations/implications – This study was conducted over a limited time period of five months, and only in several cities in Israel. Additionally, since buyers are not explicitly represented in these sites, their information behaviour was not analysed, although it undoubtedly influences information changes performed by the sellers. Practical implications – The practical contribution of this study is the ontology of the real estate world. Its assimilation by real estate websites would promote the development of their sites and user services. It would also enable ad sharing amongst the various websites and enable efficient searches by search engines. In addition the tools and measures that the authors developed will allow continued monitoring and analysis of user information change patterns. Originality/value – To the best of the knowledge this is the first study to examine and compare real estate websites’ quality and evaluate their information reliability as wisdom of the crowds.

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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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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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Hwang, Jeong-Hee. "Context Ontology and Trigger Rule Design for Service Pattern Mining." Journal of Digital Contents Society 13, no. 3 (September 30, 2012): 291–99. http://dx.doi.org/10.9728/dcs.2012.13.3.291.

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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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Dwivedi, Ashish Kumar, and Shashank Mouli Satapathy. "Ontology-Based Modelling of IoT Design Patterns." Journal of Information & Knowledge Management 20, Supp01 (January 30, 2021): 2140003. http://dx.doi.org/10.1142/s0219649221400037.

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Due to the large and complex nature of the Internet of Things (IoT), various analysis and design methodologies are proposed. Design pattern is one of them to provide the solution for a design problem, which is recurring in nature. In this approach, we have presented design patterns for the IoT use cases such as service integration and IoT security. But the semi-formal nature of software patterns may lead to bugs in the proposed pattern. Hence, an ontology-based approach is considered for modelling of the IoT design patterns. Further, we have presented an ontology-based framework for the specification and refinement of IoT design patterns. In this approach, an analysis of meta-models and ontologies has also been performed for reducing the gap between high-level design abstraction of Unified Modeling Language (UML)-based IoT patterns and formal ontology.

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Kakehi, Saori, Yoshifumi Tamura, Kageumi Takeno, Shin-ichi Ikeda, Yuji Ogura, Norio Saga, Takeshi Miyatsuka, Hisashi Naito, Ryuzo Kawamori, and Hirotaka Watada. "Endurance Runners with Intramyocellular Lipid Accumulation and High Insulin Sensitivity Have Enhanced Expression of Genes Related to Lipid Metabolism in Muscle." Journal of Clinical Medicine 9, no. 12 (December 6, 2020): 3951. http://dx.doi.org/10.3390/jcm9123951.

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Context: Endurance-trained athletes have high oxidative capacities, enhanced insulin sensitivities, and high intracellular lipid accumulation in muscle. These characteristics are likely due to altered gene expression levels in muscle. Design and setting: We compared intramyocellular lipid (IMCL), insulin sensitivity, and gene expression levels of the muscle in eight nonobese healthy men (control group) and seven male endurance athletes (athlete group). Their IMCL levels were measured by proton-magnetic resonance spectroscopy, and their insulin sensitivity was evaluated by glucose infusion rate (GIR) during a euglycemic–hyperinsulinemic clamp. Gene expression levels in the vastus lateralis were evaluated by quantitative RT-PCR (qRT-PCR) and microarray analysis. Results: IMCL levels in the tibialis anterior muscle were approximately 2.5 times higher in the athlete group compared to the control group, while the IMCL levels in the soleus muscle and GIR were comparable. In the microarray hierarchical clustering analysis, gene expression patterns were not clearly divided into control and athlete groups. In a gene set enrichment analysis with Gene Ontology gene sets, “RESPONSE TO LIPID” was significantly upregulated in the athlete group compared with the control group. Indeed, qRT-PCR analysis revealed that, compared to the control group, the athlete group had 2–3 times higher expressions of proliferator-activated receptor gamma coactivator-1 alpha (PGC1A), adiponectin receptors (AdipoRs), and fatty acid transporters including fatty acid transporter-1, plasma membrane-associated fatty acid binding protein, and lipoprotein lipase. Conclusions: Endurance runners with higher IMCL levels have higher expression levels of genes related to lipid metabolism such as PGC1A, AdipoRs, and fatty acid transporters in muscle.

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Cortón, Marta, José I. Botella-Carretero, Alberto Benguría, Gemma Villuendas, Angel Zaballos, José L. San Millán, Héctor F. Escobar-Morreale, and Belén Peral. "Differential Gene Expression Profile in Omental Adipose Tissue in Women with Polycystic Ovary Syndrome." Journal of Clinical Endocrinology & Metabolism 92, no. 1 (January 1, 2007): 328–37. http://dx.doi.org/10.1210/jc.2006-1665.

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Abstract Context: The polycystic ovary syndrome (PCOS) is frequently associated with visceral obesity, suggesting that omental adipose tissue might play an important role in the pathogenesis of the syndrome. Objective: The objective was to study the expression profiles of omental fat biopsy samples obtained from morbidly obese women with or without PCOS at the time of bariatric surgery. Design: This was a case-control study. Settings: We conducted the study in an academic hospital. Patients: Eight PCOS patients and seven nonhyperandrogenic women submitted to bariatric surgery because of morbid obesity. Interventions: Biopsy samples of omental fat were obtained during bariatric surgery. Main Outcome Measure: The main outcome measure was high-density oligonucleotide arrays. Results: After statistical analysis, we identified changes in the expression patterns of 63 genes between PCOS and control samples. Gene classification was assessed through data mining of Gene Ontology annotations and cluster analysis of dysregulated genes between both groups. These methods highlighted abnormal expression of genes encoding certain components of several biological pathways related to insulin signaling and Wnt signaling, oxidative stress, inflammation, immune function, and lipid metabolism, as well as other genes previously related to PCOS or to the metabolic syndrome. Conclusion: The differences in the gene expression profiles in visceral adipose tissue of PCOS patients compared with nonhyperandrogenic women involve multiple genes related to several biological pathways, suggesting that the involvement of abdominal obesity in the pathogenesis of PCOS is more ample than previously thought and is not restricted to the induction of insulin resistance.

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Harjito, Bambang, Denis Eka Cahyani, and Afrizal Doewes. "An Automatic Approach for Bilingual Tuberculosis Ontology Based on Ontology Design Patterns (ODPs)." TELKOMNIKA (Telecommunication Computing Electronics and Control) 16, no. 1 (February 1, 2018): 282. http://dx.doi.org/10.12928/telkomnika.v16i1.6587.

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Cahyani, Denis Eka, and Ito Wasito. "Automatic Ontology Construction Using Text Corpora and Ontology Design Patterns (ODPs) in Alzheimer’s Disease." Jurnal Ilmu Komputer dan Informasi 10, no. 2 (June 30, 2017): 59. http://dx.doi.org/10.21609/jiki.v10i2.374.

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An ontology is defined as an explicit specification of a conceptualization, which is an important tool for modeling, sharing and reuse of domain knowledge. However, ontology construction by hand is a complex and a time consuming task. This research presents a fully automatic method to build bilingual domain ontology from text corpora and ontology design patterns (ODPs) in Alzheimer’s disease. This method combines two approaches: ontology learning from texts and matching with ODPs. It consists of six steps: (i) Term & relation extraction (ii) Matching with Alzheimer glossary (iii) Matching with ontology design patterns (iv) Score computation similarity term & relation with ODPs (v) Ontology building (vi) Ontology evaluation. The result of ontology composed of 381 terms and 184 relations with 200 new terms and 42 new relations were added. Fully automatic ontology construction has higher complexity, shorter time and reduces role of the expert knowledge to evaluate ontology than manual ontology construction. This proposed method is sufficiently flexible to be applied to other domains.

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Schulz, S., and C. Martínez-Costa. "Ontology Content Patterns as Bridge for the Semantic Representation of Clinical Information." Applied Clinical Informatics 05, no. 03 (2014): 660–69. http://dx.doi.org/10.4338/aci-2014-04-ra-0031.

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SummaryObjective: Semantic interoperability of the Electronic Health Record (EHR) requires a rigorous and precise modelling of clinical information. Our objective is to facilitate the representation of clinical facts based on formal principles.Methods: We here explore the potential of ontology content patterns, which are grounded on a formal and semantically rich ontology model and can be specialised and composed.Results: We describe and apply two content patterns for the representation of data on tobacco use, rendered according to two heterogeneous models, represented in openEHR and in HL7 CDA. Finally, we provide some query exemplars that demonstrate a data interoperability use case.Conclusion: The use of ontology content patterns facilitate the semantic representation of clinical information and therefore improve their semantic interoperability. There are open issues such as the scalability and performance of the approach if a logic-based language is used. Implementation decisions might determine the final degree of semantic interoperability, influenced by the state of the art of the semantic technologies.Citation: Martínez-Costa C, Schulz S. Ontology content patterns as bridge for the semantic rRepresentation of clinical information Appl Clin Inf 2014; 5: 660–669http://dx.doi.org/10.4338/ACI-2014-04-RA-0031

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Martinec, Tomislav, Stanko Škec, Jelena Šklebar, and Mario Štorga. "Applying Engineering Design Ontology for Content Analysis of Team Conceptual Design Activity." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 2467–76. http://dx.doi.org/10.1017/dsi.2019.253.

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AbstractStudies of design activity have been dominantly reporting on different aspects of the design process, rather than the content of designing. The aim of the presented research has been the development and application of an approach for a fine-grain analysis of the design content communicated between designers during the team conceptual design activities. The proposed approach builds on an engineering design ontology as a foundation for the content categorisation. Two teams have been studied using the protocol analysis method. The coded protocols offered fine-grain descriptions of the content communicated at different points in the design session and enabled comparison of teams’ approaches and deriving some generalisable findings. For example, it has been shown that both teams focused primarily on the use of the developed product and the operands within the technical process, in order to generate new technical solutions and initial component design. Moreover, teams exhibit progress from abstract to concrete solutions as the sessions proceeded and focused on the functional requirements towards the end of the sessions.

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Zagorulko, Y. A., O. I. Borovikova, and G. B. Zagorulko. "The development of a system for automated ontology building based on heterogeneous ontology design patterns." Journal of Physics: Conference Series 1715 (January 2021): 012014. http://dx.doi.org/10.1088/1742-6596/1715/1/012014.

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Xiang, Zuoshuang, Jie Zheng, Yu Lin, and Yongqun He. "Ontorat: automatic generation of new ontology terms, annotations, and axioms based on ontology design patterns." Journal of Biomedical Semantics 6, no. 1 (2015): 4. http://dx.doi.org/10.1186/2041-1480-6-4.

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Chaturvedi, Amrita, and T. V. Prabhakar. "Ontology driven creational design patterns as parameterized and reusable components." ACM SIGAPP Applied Computing Review 14, no. 1 (March 2014): 6–19. http://dx.doi.org/10.1145/2600617.2600618.

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Pavlic, Luka, Vili Podgorelec, and Marjan Hericko. "A question-based design pattern advisement approach." Computer Science and Information Systems 11, no. 2 (2014): 645–64. http://dx.doi.org/10.2298/csis130824025p.

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Design patterns are a proven way to build flexible software architectures. But the selection of an appropriate design pattern is a difficult task in practice, particularly for less experienced developers. In this paper, a question based design pattern advisement approach will be proposed. This approach primarily assists developers in identifying and selecting the most suitable design pattern for a given problem. We will also propose certain extensions to the existing Object-Oriented Design Ontology (ODOL). In addition to the advisement procedure, a new design pattern advisement ontology will be defined. We have also developed a tool that supports the proposed ontology and question-based advisement (OQBA) approach. The conducted controlled experiment and two surveys have shown that the proposed approach is beneficial to all software developers, especially to those who have less experience with design patterns.

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Anticoli, Linda, and Elio Toppano. "How Culture May Influence Ontology Co-Design." International Journal of Information Technology and Web Engineering 6, no. 2 (April 2011): 1–17. http://dx.doi.org/10.4018/jitwe.2011040101.

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This article addresses the issue of cultural influence in ontology design and reuse. The main assumption is that an ontology is not only a socio-technical artefact but also a cultural artefact. It contains embedded assumptions, core values, points of view, beliefs, thought patterns, etc. Based on results already found in several design fields the authors formulate some preliminary hypotheses about the possible relationships existing between culture and features of design process and produced ontology. A critical and qualitative analysis of six collaborative design systems has been performed to test some of the hypotheses, confirming some of the findings. The authors argue that a “culture aware” attitude may be of great importance for supporting the processes of cross cultural collaborative ontology design and the internalization and localization of these kinds of artefacts.

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Umar, A., and W. Raghupathi. "Upper-level Ontologies for Health Information Systems." Methods of Information in Medicine 50, no. 03 (2011): 285–95. http://dx.doi.org/10.3414/me0519.

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SummaryObjectives: We examine the potential of archetype patterns for upper-level ontology development in health information systems (HISs).Methods: Archetype patterns, based on the integration of archetype concepts and design patterns, are conceptualized and developed for ontology in the HIS domain. The UML provides the underlying modeling support.Results: We argue in favor of the archetype pattern providing models for upper-level ontologies in HIS. This, in turn, has the potential to offer a foundation for interoperability across HIS applications and enterprises. Our research also shows the limitations of current ontology development methods as well as the challenges faced in archetype pattern development. The framework has potential for general, widespread usage. Overall, this approach supports ontology development in HIS.Conclusions: The research demonstrates the applicability of archetype patterns to ontology development in HIS. While numerous ontologies exist in biomedicine, there are few well-developed ontologies for general healthcare. Properly modeled, archetype patterns have potential to reconcile the differences in high-level design views across health care inter-enterprises. Future research can focus on governance, standards and tools for archetype patterns, as well as development of a comprehensive set of high-level healthcare archetype patterns.

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Elhassouni, Jalil, Abderrahim El Qadi, Mehdi Bazzi, and Mohamed El Haziti. "Modeling with ontologies design patterns: credit scorecard as a case study." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (January 1, 2020): 429. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp429-439.

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<span lang="EN-US">This paper proposes an ontological scorecard model for credit risk management. The purpose of credit scoring model is to reduce the possibility of potential losses with regard to issued loans. Loans are provided according to strict criteria which contain information about the client, loan structure, the purpose, repayment source and collateral. Several techniques have been used for credit risk assessment before granting a loan. Ontology design patterns is used here to enable the implementation of domain knowledge using the OWL rules and to improve the decision making process in credit monitoring. The modeling of our ontology will make the data publication simpler and graph structures intuitive, thus making its reusability and expandability easier.</span>

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Maciuszek, Dennis, Sebastian Ladhoff, and Alke Martens. "Content Design Patterns for Game-Based Learning." International Journal of Game-Based Learning 1, no. 3 (July 2011): 65–82. http://dx.doi.org/10.4018/ijgbl.2011070105.

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To address the lack of documented best practices in the development of digital educational games, the authors have previously proposed a reference software architecture. One of its components is the rule system specifying learning and gameplay content. It contains quest, player character, non-player character, environment, and item rules. Documented content design patterns can assist in the authoring of such rules. This paper reports on four studies that have collected quest, character, environment, and item design patterns by analysing a variety of media. A selection of the results is presented, as well as a discussion of how the patterns can be used in designing educational game content.

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Guilbert, Eric, Bernard Moulin, and Andrés Cortés Murcia. "A CONCEPTUAL MODEL FOR THE REPRESENTATION OF LANDFORMS USING ONTOLOGY DESIGN PATTERNS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 15–22. http://dx.doi.org/10.5194/isprsannals-iii-2-15-2016.

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A landform is an area of a terrain with its own recognisable shape. Its definition is often qualitative and inherently vague. Hence landforms are difficult to formalise in view of their extraction from a DTM. This paper presents a two-level framework for the representation of landforms. The objective is to provide a structure where landforms can be conceptually designed according to a common model which can be implemented. It follows the principle that landforms are not defined by geometrical characteristics but by salient features perceived by people. Hence, these salient features define a skeleton around which the landform is built. The first level of our model defines general concepts forming a landform prototype while the second level provides a model for the translation of these concepts and landform extraction on a DTM. The model is still under construction and preliminary results together with current developments are also presented.

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Guilbert, Eric, Bernard Moulin, and Andrés Cortés Murcia. "A CONCEPTUAL MODEL FOR THE REPRESENTATION OF LANDFORMS USING ONTOLOGY DESIGN PATTERNS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 15–22. http://dx.doi.org/10.5194/isprs-annals-iii-2-15-2016.

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A landform is an area of a terrain with its own recognisable shape. Its definition is often qualitative and inherently vague. Hence landforms are difficult to formalise in view of their extraction from a DTM. This paper presents a two-level framework for the representation of landforms. The objective is to provide a structure where landforms can be conceptually designed according to a common model which can be implemented. It follows the principle that landforms are not defined by geometrical characteristics but by salient features perceived by people. Hence, these salient features define a skeleton around which the landform is built. The first level of our model defines general concepts forming a landform prototype while the second level provides a model for the translation of these concepts and landform extraction on a DTM. The model is still under construction and preliminary results together with current developments are also presented.

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Lomov, P. A., and A. G. Oleynik. "TECHNOLOGY OF APPLICATION OF ONTOLOGY DESIGN PATTERNS FOR ACCELERATION OF QUERIES EXECUTION IN ONTOLOGY BASED DATA ACCESS SYSTEMS." Ontology of Designing 26, no. 7 (December 29, 2017): 443–52. http://dx.doi.org/10.18287/2223-9537-2017-7-4-443-452.

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Hammid, Nacera, Lynda Haddadi, and Farida Bouarab-Dahmani. "Collaborative MOOC Content Design and Automatic Assessment Based on ODALA Approach." Journal of Information Technology Research 10, no. 2 (April 2017): 19–39. http://dx.doi.org/10.4018/jitr.2017040102.

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Since the fall of 2011, the Massive Open Online Course (MOOC) phenomenon is still being qualified as the most attractive and discussed subject by educational communities and public. In the literature, there are many researches about this recent e-learning generation that vary as the goals vary from raising pedagogical issues to economics ones. Several case studies state that MOOCs are challenging the use of technologies to enhance learning; others think that MOOCs can induce to disruptive in education and educational institutions. In this paper, we propose an instructional design for a kind of MOOC platforms where mainly the use of disciplines specifications and automated evaluation of MOOC learners are possible to settle the source of these problems. Our proposition is based on ODALA (Ontology-Driven Auto-evaluation Learning Approach) principles and on the disciplines' knowledge capitalization using a meta-model represented as domain ontology for disciplines modeling inspired by this approach.

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Karyawati, A. A. I. N. Eka, Edi Winarko, Azhari Azhari, and Agus Harjoko. "Ontology-based Why-Question Analysis Using Lexico-Syntactic Patterns." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 2 (April 1, 2015): 318. http://dx.doi.org/10.11591/ijece.v5i2.pp318-332.

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This research focuses on developing a method to analyze why-questions. Some previous researches on the why-question analysis usually used the morphological and the syntactical approach without considering the expected answer types. Moreover, they rarely involved domain ontology to capture the semantic or conceptualization of the content. Consequently, some semantic mismatches occurred and then resulting not appropriate answers. The proposed method considers the expected answer types and involves domain ontology. It adapts the simple, the bag-of-words like model, by using semantic entities (i.e., concepts/entities and relations) instead of words to represent a query. The proposed method expands the question by adding the additional semantic entities got by executing the constructed SPARQL query of the why-question over the domain ontology. The major contribution of this research is in developing an ontology-based why-question analysis method by considering the expected answer types. Some experiments have been conducted to evaluate each phase of the proposed method. The results show good performance for all performance measures used (i.e., precision, recall, undergeneration, and overgeneration). Furthermore, comparison against two baseline methods, the keyword-based ones (i.e., the term-based and the phrase-based method), shows that the proposed method obtained better performance results in terms of MRR and P@10 values.

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Laurier, Wim, and Geert Poels. "Research Note." Journal of Database Management 23, no. 3 (July 2012): 50–64. http://dx.doi.org/10.4018/jdm.2012070103.

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This research note shows that the scope of conceptual data modeling patterns can be identified, clarified, and explicitly represented by positioning them into an ontology-based framework. A clear and explicit definition of scope could help deciding which patterns match which parts of the domain to be represented. The authors demonstrate their argument by positioning existing conceptual data modeling patterns into a two-dimensional structuring framework that is constructed using two ontology-derived ‘benchmark’ patterns: an enterprise pattern for representing transactions (derived from the REA domain ontology) and an abstraction pattern for representing reality at different levels of abstraction (derived from the UFO foundational ontology). By means of an application scenario dealing with the conceptual design of a transactional enterprise database, the authors illustrate how the framework can be used to evaluate the relevancy and completeness of candidate patterns with respect to the problem at hand.

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Elsayed, Eman K., Kamal A. ElDahshan, Enas E. El-Sharawy, and Naglaa E. Ghannam. "Reverse engineering approach for improving the quality of mobile applications." PeerJ Computer Science 5 (August 19, 2019): e212. http://dx.doi.org/10.7717/peerj-cs.212.

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BackgroundPortable-devices applications (Android applications) are becoming complex software systems that must be developed quickly and continuously evolved to fit new user requirements and execution contexts. Applications must be produced rapidly and advance persistently in order to fit new client requirements and execution settings. However, catering to these imperatives may bring about poor outline decisions on design choices, known as anti-patterns, which may possibly corrupt programming quality and execution. Thus, the automatic detection of anti-patterns is a vital process that facilitates both maintenance and evolution tasks. Additionally, it guides developers to refactor their applications and consequently enhance their quality.MethodsWe proposed a general method to detect mobile applications’ anti-patterns that can detect both semantic and structural design anti-patterns. The proposed method is via reverse-engineering and ontology by using a UML modeling environment, an OWL ontology-based platform and ontology-driven conceptual modeling. We present and test a new method that generates the OWL ontology of mobile applications and analyzes the relationships among object-oriented anti-patterns and offer methods to resolve the anti-patterns by detecting and treating 15 different design’s semantic and structural anti-patterns that occurred in analyzing of 29 mobile applications. We choose 29 mobile applications randomly. Selecting a browser is not a criterion in this method because the proposed method is applied on a design level. We demonstrate a semantic integration method to reduce the incidence of anti-patterns using the ontology merging on mobile applications.ResultsThe proposed method detected 15 semantic and structural design anti-patterns which have appeared 1,262 times in a random sample of 29 mobile applications. The proposed method introduced a new classification of the anti-patterns divided into four groups. “The anti-patterns in the class group” is the most group that has the maximum occurrences of anti-patterns and “The anti-patterns in the operation group” is the smallest one that has the minimum occurrences of the anti-patterns which are detected by the proposed method. The results also showed the correlation between the selected tools which we used as Modelio, the Protégé platform, and the OLED editor of the OntoUML. The results showed that there was a high positive relation between Modelio and Protégé which implies that the combination between both increases the accuracy level of the detection of anti-patterns. In the evaluation and analyzing the suitable integration method, we applied the different methods on homogeneous mobile applications and found that using ontology increased the detection percentage approximately by 11.3% in addition to guaranteed consistency.

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Debbech, Sana, Simon Collart-Dutilleul, and Philippe Bon. "An Ontological Approach to Support Dysfunctional Analysis for Railway Systems Design." JUCS - Journal of Universal Computer Science 26, no. 5 (May 28, 2020): 549–82. http://dx.doi.org/10.3897/jucs.2020.030.

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Dysfunctional analysis is an essential and demanding task in the early development stages of safety-critical systems (SCSs). Nevertheless, current practices present several drawbacks. Generally, a common dysfunctional analysis conceptualization is missing and it is dependent on safety analysis techniques. Moreover, some safety analysis methods require well-known system behaviors expressed by dynamic models such as sequence diagrams and finite automata. However, the dynamic character of these models increases their susceptibility to changes and then they are not obtainable in the early design stages. Since dysfunctional analysis highly relies on the experience of safety analysts and the feedback (REX) obtained from previous systems development, there is a need to formalize this knowledge domain in a structured way to ensure its future reuse. Furthermore, safety measures derived from this dysfunctional analysis approach must be strongly linked to a goal-oriented perspective and adapted to a specific context. For this purpose, this paper presents a real-world semantics interpretation and conceptualization of dysfunctional analysis related concepts based on the Unified Foundational Ontology (UFO) and well-known standards to avoid ambiguities. The proposed Dysfunctional Analysis Ontology (DAO) aims to provide a systematization of the goal-oriented dysfunctional analysis through a terminological clarification in order to prevent hazards in the first design phases. Then, a DAO formalization is proposed using the Web Ontology Language (OWL). Finally, the DAO pattern is applied to two different real critical scenarios from the railway domain in order to illustrate and evaluate this ontological approach.

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Ozturk, Ovunc. "OPPCAT: Ontology population from tabular data." Journal of Information Science 46, no. 2 (February 21, 2019): 161–75. http://dx.doi.org/10.1177/0165551519827892.

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In order to present large amount of information on the Web to both users and machines, it is urgently needed to structure Web data. E-commerce is one of the areas where increasing data bottlenecks on the Web inhibit data access. Ontological display of the product information enables better product comparison and search applications using the semantics of the product specifications and their corresponding values. In this article, we present a framework called OPPCAT, which is used for semi-automatic ontology population from tabular data in e-commerce stores and product catalogues. As a result, OPPCAT allows tabular data to be used for mass production of ontology content. First, we present the common patterns in tabular data which obstruct semi-automatic production of ontologies. Then, we suggest solutions which automatically fix these errors. Finally, we define an algorithm to build ontology content semi-automatically.

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Elhassouni, Jalil, Abderrahim El qadi, Yasser El madani El alami, and Mohamed El haziti. "The Implementation of Credit Risk Scorecard Using Ontology Design Patterns and BCBS 239." Cybernetics and Information Technologies 20, no. 2 (June 1, 2020): 93–104. http://dx.doi.org/10.2478/cait-2020-0019.

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AbstractNowadays information and communication technologies are playing a decisive role in helping the financial institutions to deal with the management of credit risk. There have been significant advances in scorecard model for credit risk management. Practitioners and policy makers have invested in implementing and exploring a variety of new models individually. Coordinating and sharing information groups, however, achieved less progress. One of several causes of the 2008 financial crisis was in data architecture and information technology infrastructure. To remedy this problem the Basel Committee on Banking Supervision (BCBS) outlined a set of principles called BCBS 239. Using Ontology Design Patterns (ODPs) and BCBS 239, credit risk scorecard and applicant ontologies are proposed to improve the decision making process in credit loan. Both ontologies were validated, distributed in Ontology Web Language (OWL) files and checked in the test cases using SPARQL. Thus, making their (re)usability and expandability easier in financial institutions. These ontologies will also make sharing data more effective and less costly.

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Abu-Hanna, A., R. Cornet, J. H. M. Zwetsloot-Schonk, C. P. Stoutenbeek, and N. F. de Keizer. "Analysis and Design of an Ontology for Intensive Care Diagnoses." Methods of Information in Medicine 38, no. 02 (1999): 102–12. http://dx.doi.org/10.1055/s-0038-1634178.

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AbstractInformation about the patient‘s health status and about medical problems in general, play an important role in stratifying a patient population for quality assurance of intensive care. A terminological system which supports both the description of health problems for daily care practice and the aggregation of diagnostic information for evaluative research, is desirable for description of the patient population. This study describes the engineering of an ontology that facilitates a terminological system for intensive care diagnoses. We analyzed the criteria for such an ontology and evaluated existing terminological systems according to these criteria. The analysis shows that none of the existing terminological systems completely satisfies all our criteria. We describe choices regarding design, content and representation of a new ontology on which an adequate terminological system is based. The proposed ontology is characterized by the explicit and formal representation of the domain model, the metaspecification of its concepts, the vocabulary to define concepts and the nomenclature to support the composition of new concepts.

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Vujasinovic, Marko, Nenad Ivezic, and Boonserm Kulvatunyou. "A survey and classification of principles for domain-specific ontology design patterns development." Applied Ontology 10, no. 1 (May 20, 2015): 41–69. http://dx.doi.org/10.3233/ao-150140.

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Lantow, Birger, and Kurt Sandkuhl. "An Analysis of Applicability using Quality Metrics for Ontologies on Ontology Design Patterns." Intelligent Systems in Accounting, Finance and Management 22, no. 1 (January 2015): 81–99. http://dx.doi.org/10.1002/isaf.1360.

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Hoehndorf, Robert, Axel-Cyrille Ngonga Ngomo, Sampo Pyysalo, Tomoko Ohta, Anika Oellrich, and Dietrich Rebholz-Schuhmann. "Ontology design patterns to disambiguate relations between genes and gene products in GENIA." Journal of Biomedical Semantics 2, Suppl 5 (2011): S1. http://dx.doi.org/10.1186/2041-1480-2-s5-s1.

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Journal articles on the topic 'Content Ontology Design Patterns'

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