Relevant bibliographies by topics / Ontology modeling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Ontology modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Ontology modeling"

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Djuric, Dragan, Dragan Gaševi, and Vladan Devedžic. "Ontology Modeling and MDA." Journal of Object Technology 4, no. 1 (2005): 109. http://dx.doi.org/10.5381/jot.2005.4.1.a3.

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Iribarne, Luis, Nicolas Padilla, José Andrés Asensio, et al. "Open-Environmental Ontology Modeling." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 41, no. 4 (2011): 730–45. http://dx.doi.org/10.1109/tsmca.2011.2132706.

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Roman, Dumitru, Uwe Keller, Holger Lausen, et al. "Web Service Modeling Ontology." Applied Ontology: An Interdisciplinary Journal of Ontological Analysis and Conceptual Modeling 1, no. 1 (2005): 77–106. https://doi.org/10.3233/apo-2005-000008.

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The potential to achieve dynamic, scalable and cost-effective marketplaces and eCommerce solutions has driven recent research efforts towards so-called Semantic Web Services that are enriching Web services with machine-processable semantics. To this end, the Web Service Modeling Ontology (WSMO) provides the conceptual underpinning and a formal language for semantically describing all relevant aspects of Web services in order to facilitate the automatization of discovering, combining and invoking electronic services over the Web. In this paper we describe the overall structure of WSMO by its fo
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Zhou, Yang, Zhao Yang Zeng, Bin Tian, Zhi Yu Jia, and Xiao Guo. "Ontology Modeling of Aircraft Fault Knowledge." Applied Mechanics and Materials 236-237 (November 2012): 350–55. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.350.

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With consideration of the actual requirement of fault knowledge management in current aviation maintenance, ontology-based knowledge representation method of aircraft fault is studied. Knowledge sources of aircraft fault ontology are analyzed based on ontology modeling primitives. Ontology construction method of aircraft fault knowledge is proposed learning from software engineering and the essence of the existing ontology construction methodology. On the basis of the above study, aircraft fault ontology which is consist of Fault Core sub-ontology, Product domain sub-ontology, Case domain sub-
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Agárdi, Anita. "Conversion of companies and source code comment ontology into RelOntoUML." Production Systems and Information Engineering 10, no. 1 (2022): 102–9. http://dx.doi.org/10.32968/psaie.2022.1.9.

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In this article, the conversion of a Companies and a source code commenting (SEM) ontology system into the RelOntoUML modelling system is presented. The two ontology systems are in OWL format available on github. After the simplification of the OWL files, I converted these two systems to RelOntoUML. RelOntoUML is a proprietary modelling that combines ontology, UML, and relational database modeling.
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Zhang, Min Hui, and Jian Yang. "A Novel Semantic Ontology Modeling Method." Applied Mechanics and Materials 510 (February 2014): 271–77. http://dx.doi.org/10.4028/www.scientific.net/amm.510.271.

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To solve the semantic representation in data integration system, a novel ontology modeling method was proposed. The relationship between deferent layers including the core ontology layer, the role ontology layer, the goal ontology layer, service ontology layer and the mediator ontology layer in the ontology framework was analyzed, and the implement specification of each layer was given based on UML specification. Experimental result shows that proposed method can improve the degree of accuracy of semantic representation, and has the advantage of good adaptability for structure instability and
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Hariyanti, Ni Kadek Dessy, Linawati Linawati, I. Made Oka Widyantara, Gede Sukadarmika, I. Nyoman Gede Arya Astawa, and Nur Diyana Kamarudin. "Ontology Modeling for Subak Knowledge Management System." JOIV : International Journal on Informatics Visualization 9, no. 2 (2025): 642. https://doi.org/10.62527/joiv.9.2.3386.

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Subak, as a Balinese traditional agricultural organization, has knowledge of cultural heritage, including both explicit and tacit elements. This research aimed to develop ontology knowledge model for the digital preservation of Subak culture in the form of Knowledge Management System (KMS). The development of model was based on three main stages, including requirement analysis, ontology development, and ontology assessments. Requirement analysis included data collection through field observations, in-depth interviews, and document analysis, while ontology development consisted of hierarchical
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Wei, Jun Ying, Pei Si Zhong, and Chun Fen Guo. "Ontology Modeling of Manufacturing Resources." Key Engineering Materials 474-476 (April 2011): 1621–25. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1621.

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Aiming at the current situation of manufacturing enterprises’ resources, the definition and the classification of manufacturing resources are given out. Combining with the dominance of ontology in knowledge reuse and sharing, the ontology classification hierarchy tree of the standardized part resources is defined. By analyzing the properties information of rolling bearing, its ontology model is established based on OWL. The OWL model can reflect better the essential relationship and the semantic relations between concepts, providing a good informationization foundation for manufacturing resour
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Baboshin, Andrey. "Ontology modeling of grid-applications." SPIIRAS Proceedings, no. 11 (March 17, 2014): 252. http://dx.doi.org/10.15622/sp.11.16.

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Eriksson, Owen, Paul Johannesson, and Maria Bergholtz. "Institutional ontology for Conceptual Modeling." Journal of Information Technology 33, no. 2 (2018): 105–23. http://dx.doi.org/10.1057/s41265-018-0053-2.

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Conceptual models are intended to capture knowledge about the world. Hence, the design of conceptual models could be informed by theories about what entities exist in the world and how they are constituted. Further, a common assumption within the field of conceptual modeling is that conceptual models and information systems describe entities in the real world, outside the systems. An alternative view is provided by an ontological commitment that recognizes that the institutional world is constructed through language use and the creation of institutional facts. Such an ontological commitment im
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Dissertations / Theses on the topic "Ontology modeling"

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CARVALHO, V. A. "Foundations for Multi-level Ontology-based Conceptual Modeling." Universidade Federal do Espírito Santo, 2016. http://repositorio.ufes.br/handle/10/9870.

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Made available in DSpace on 2018-08-02T00:04:06Z (GMT). No. of bitstreams: 1 tese_10529_foundations_for_ontology_based_multi_level_conceptual_modeling_2012 - victorio.pdf: 6142526 bytes, checksum: 3e3483b04f4e9b86ab648e66104ac1e2 (MD5) Previous issue date: 2016-12-16<br>Considerando que modelos conceituais são produzidos com o objetivo de representar certos aspectos do mundo físico e social de acordo com uma conceituação específica e que ontologias buscam descrever conceituações, tem havido crescente interesse no uso de ontologias para fornecer uma base teórica sólida para a disciplina de mo
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Park, Minho. "Ontology-based customizable 3D modeling for simulation." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010095.

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Yazdi, Sara. "An Ontology Based Framework for Modeling Healthcare Teams." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22901.

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Advantages of applying information and communication technologies to support complex team practices in healthcare domain have often been supported in the extant literature. The primary assumption is that before putting any technologies in place to support team functions, the team-based environment should be completely modeled. To date, many frameworks have been proposed for modeling healthcare teams; however, most of the frameworks only focus on single or a few aspects of teamwork and the outcomes usually present overlaps, limitations and inconsistencies. As a result, there is an increasing de
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Lin, Yishuai. "An organizational ontology for multiagent-based Enterprise Process modeling and automation." Phd thesis, Université de Technologie de Belfort-Montbeliard, 2013. http://tel.archives-ouvertes.fr/tel-00977726.

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The work presented in this PhD thesis defines a new approach for the modeling and the conceptualization of enterprise business processes in the perspective of building intelligent assistance software tools to support these processes. The proposed approach defines an organizational ontology, named K-CRIO. Its description is based on the Ontology Web Language. To illustrate our work, an intelligent assistance system has been designed and implemented according to the result from the modeling and conceptualization of a specific business process with the K-CRIO Ontology. It is a web-based applicati
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Krisnadhi, Adila Alfa. "Ontology Pattern-Based Data Integration." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1453177798.

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Benevolenskiy, Alexander. "Ontology-based modeling and configuration of construction processes using process patterns." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-197416.

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Process modeling is used in construction to plan and manage the construction process and to support various simulation tasks. A major problem is that due to the one-of-a-kind character of construction projects a lot of work is spent manually developing an overall process schedule for each project. However, the total individual process is typically structured into multiple stages containing a number of recurring similar, but unequal, subprocesses that can be standardized, if appropriately generalized, to generic reusable process patterns. Moreover, not only processes, but also many general cons
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Sartorio, Kleber [UNESP]. "Uma ferramenta para captura de ontologias baseada na técnica ISM." Universidade Estadual Paulista (UNESP), 2004. http://hdl.handle.net/11449/90814.

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Made available in DSpace on 2014-06-11T19:24:47Z (GMT). No. of bitstreams: 0 Previous issue date: 2004-11-30Bitstream added on 2014-06-13T19:25:52Z : No. of bitstreams: 1 sartorio_k_me_bauru_prot.pdf: 2209639 bytes, checksum: a0a2fce8fd1c1303680daea336c2df7f (MD5)<br>Telesp/Telefonica<br>Embora a representação do conhecimento por meio de ontologias tenha evoluído muito nos últimos anos, seus benefícios são usufruídos por um número ainda restrito de organizações. A fim de possibilitar que a aplicação de ontologias seja uma alternativa ao alcance de todas as organizações, é preciso simplificar
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Sartorio, Kleber. "Uma ferramenta para captura de ontologias baseada na técnica ISM /." Bauru : [s.n.], 2004. http://hdl.handle.net/11449/90814.

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Orientador: José Eduardo Cogo Castanho<br>Banca: Márcio Rillo<br>Banca: Marcelo Nicoletti Franchin<br>Resumo: Embora a representação do conhecimento por meio de ontologias tenha evoluído muito nos últimos anos, seus benefícios são usufruídos por um número ainda restrito de organizações. A fim de possibilitar que a aplicação de ontologias seja uma alternativa ao alcance de todas as organizações, é preciso simplificar a apresentação do conceito de ontologias, explicitando suas utilidades e fornecendo meios que facilitem sua construção. Com o objetivo de contribuir para o atendimento dessas neces
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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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Werlang, Ricardo. "Ontology-based approach for standard formats integration in reservoir modeling." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/115196.

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A integração de dados oriundos de fontes autônomas e heterogêneas ainda é um grande problema para diversas aplicações. Na indústria de petróleo e gás, uma grande quantidade de dados é gerada diariamente a partir de múltiplas fontes, tais como dados sísmicos, dados de poços, dados de perfuração, dados de transporte e dados de marketing. No entanto, estes dados são adquiridos através da aplicação de diferentes técnicas e representados em diferentes formatos e padrões. Assim, estes dados existem de formas estruturadas em banco de dados e de formas semi-estruturadas em planilhas e documentos, tais
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Books on the topic "Ontology modeling"

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Ebrahimipour, Vahid, and Soumaya Yacout, eds. Ontology Modeling in Physical Asset Integrity Management. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15326-1.

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Tolk, Andreas, ed. Ontology, Epistemology, and Teleology for Modeling and Simulation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31140-6.

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Seddig-Raufie, Djamila. Proposed actions are no actions: Re-modeling an ontology design pattern with a realist top-level ontology. Universität, 2012.

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Tolk, Andreas. Ontology, Epistemology, and Teleology for Modeling and Simulation: Philosophical Foundations for Intelligent M&S Applications. Springer Berlin Heidelberg, 2013.

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Fadel, Fadi George. A resource ontology for enterprise modelling. National Library of Canada = Bibliothèque nationale du Canada, 1995.

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Casellas, Núria. Legal ontology engineering: Methodologies, modelling trends, and the ontology of professional judicial knowledge. Springer, 2011.

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Lim, Edward H. Y., James N. K. Liu, and Raymond S. T. Lee. Knowledge Seeker - Ontology Modelling for Information Search and Management. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17916-7.

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Adão, Telmo, Luís Magalhães, and Emanuel Peres. Ontology-based Procedural Modelling of Traversable Buildings Composed by Arbitrary Shapes. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42372-2.

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Lim, Edward H. Y. Knowledge Seeker - Ontology Modelling for Information Search and Management: A Compendium. Springer-Verlag Berlin Heidelberg, 2011.

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Lukszo, Zofia, Igor Nikolic, and Koen H. Van Dam. Agent-based modelling of socio-technical systems. Springer, 2013.

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Book chapters on the topic "Ontology modeling"

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Kendall, Elisa F., and Deborah L. McGuinness. "Conceptual Modeling." In Ontology Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-79486-5_5.

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Oyelade, Olaide N. "Ontology Modeling." In Semantic Web Technologies. CRC Press, 2022. http://dx.doi.org/10.1201/9781003309420-7.

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Ruy, Fabiano B., Cássio C. Reginato, Victor A. Santos, Ricardo A. Falbo, and Giancarlo Guizzardi. "Ontology Engineering by Combining Ontology Patterns." In Conceptual Modeling. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25264-3_13.

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Lim, Edward H. Y., James N. K. Liu, and Raymond S. T. Lee. "Ontology Modeling Framework." In Knowledge Seeker - Ontology Modelling for Information Search and Management. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17916-7_5.

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Limonad, Lior, Pieter De Leenheer, Mark Linehan, Rick Hull, and Roman Vaculín. "Ontology of Dynamic Entities." In Conceptual Modeling. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34002-4_27.

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de Alencar Silva, Patrício, and Hans Weigand. "Enterprise Monitoring Ontology." In Conceptual Modeling – ER 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24606-7_11.

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Kondylakis, Haridimos, and Dimitris Plexousakis. "Ontology Evolution: Assisting Query Migration." In Conceptual Modeling. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34002-4_26.

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Gaševic, Dragan, Dragan Djuric, and Vladan Devedžic. "Modeling Spaces." In Model Driven Engineering and Ontology Development. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00282-3_5.

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Mobus, George E. "System Ontology." In Systems Science: Theory, Analysis, Modeling, and Design. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93482-8_3.

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Chan, Christine W., and Robert Harrison. "An Ontology Modeling Tool." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16083-7_7.

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Conference papers on the topic "Ontology modeling"

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Lieber, Sven, Ben De Meester, Anastasia Dimou, and Ruben Verborgh. "MontoloStats - Ontology Modeling Statistics." In K-CAP '19: Knowledge Capture Conference. ACM, 2019. http://dx.doi.org/10.1145/3360901.3364433.

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Grassi, Simone, Stephen Barrett, and Francesco Sordillo. "Ontology based algorithm modeling." In the 2nd workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1388336.1388339.

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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 ontol
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Wang, Junhua, Wanli Zuo, Fengling He, and Ying Wang. "A New Formal Description of Ontology Definition and Ontology Algebra." In 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE, 2009. http://dx.doi.org/10.1109/kam.2009.23.

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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 modeli
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"From Classic User Modeling to Scrutable User Modeling." In The 1st International Workshop on Ontology for e-Technologies. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002222200230032.

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Ruebenacker, Oliver, Ion I. Moraru, James C. Schaff, and Michael L. Blinov. "Kinetic Modeling Using BioPAX Ontology." In 2007 IEEE International Conference on Bioinformatics and Biomedicine. IEEE, 2007. http://dx.doi.org/10.1109/bibm.2007.55.

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Ismail, Khairul Nurmazianna, Fadilah Ezlina Shahbudin, and Fadzlin Ahmadon. "Modeling instructional material using ontology." In 2017 5th International Conference on Research and Innovation in Information Systems (ICRIIS). IEEE, 2017. http://dx.doi.org/10.1109/icriis.2017.8002466.

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Zhu, Zhiyun, Yanhui Li, and Baowen Xu. "Ontology Modeling for Mobile Software." In 2014 11th Web Information System and Application Conference (WISA). IEEE, 2014. http://dx.doi.org/10.1109/wisa.2014.58.

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Turnitsa, Charles, Jose J. Padilla, and Andreas Tolk. "Ontology for Modeling and Simulation." In 2010 Winter Simulation Conference - (WSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/wsc.2010.5679124.

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Reports on the topic "Ontology modeling"

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Collins, Joseph B. Standardizing an Ontology of Physics for Modeling and Simulation. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada610086.

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Chipman, Tim, Kristine K. Fallon, Robert A. Feldman, Gregory Williams, and Omobolawa Fadojutimi. Ontology for Life-Cycle Modeling of Electrical Distribution Systems: Model View Definition. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada584094.

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Fallon, Kristine K., Robert A. Feldman, Gregory Williams, Omobolawa Fadojutimi, and Tim Chipman. Ontology for Life-Cycle Modeling of Water Distribution Systems: Model View Definition. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada589612.

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Kogut, Paul. DARPA Agent Markup Language (DAML) Unified Modeling Language (UML)-Based Ontology Toolset (UBOT). Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada440653.

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Maksymov, Oleksandr S., Julia O. Maksymova, and Oleksandr O. Maksymov. Integrated Control of Students Competencies in Educational Programs. Innovative Modeling Using an Ontology Approach. Publishing House - Vilnius Business College, 2023. http://dx.doi.org/10.57005/ab.2023.1.4.

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For comprehensive testing of students’ knowledge, it is necessary to have two areas of consideration - this is an ontological model of the subject area and formulated, formalized, and described concept of knowledge. A formalized description of concepts from the subject area of knowledge is quite specific and time-consuming. At the same time, already at this stage in the development of research and the use of relevant ontology results, they make a significant contribution to the problems of managing and controlling the knowledge of students of higher educational institutions. This article is an
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Fallon, Kristine K., Robert A. Feldman, Gregory Williams, Omobolawa Fadojutimi, and Tim Chipman. Ontology for Life-Cycle Modeling of Electrical Distribution Systems: Application of Model View Definition Attributes. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada582294.

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Fallon, Kristine K., Robert A. Feldman, Gregory Williams, Omobolawa Fadojutimi, and Tim Chipman. Ontology for Life-Cycle Modeling of Water Distribution Systems: Application of Model View Definition Attributes. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada589613.

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Guizzardi, Giancarlo, Luis Ferreira Pires, and Marten van Sinderen. An Ontology-Based Approach for Evaluating the Domain Appropriateness and Comprehensibility Approprateness of Modeling Languages. University of Twente, Centre for Telematics and Information Technology (CTIT), 2005. http://dx.doi.org/10.3990/1.5108517.

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Ruvinsky, Alicia, Maria Seale, R. Salter, and Natàlia Garcia-Reyero. An ontology for an epigenetics approach to prognostics and health management. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46632.

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Techniques in prognostics and health management have advanced considerably in the last few decades, enabled by breakthroughs in computational methods and supporting technologies. These predictive models, whether data-driven or physics-based, target the modeling of a system’s aggregate performance. As such, they generalize assumptions about the modelled system’s components, and are thus limited in their ability to represent individual components and the dynamic environmental factors that affect composite system health. To address this deficiency, we have developed an epigenetics-inspired knowle
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Baader, Franz, Stefan Borgwardt, and Barbara Morawska. Constructing SNOMED CT Concepts via Disunification. Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2022.237.

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Abstract:
Description Logics (DLs) [BCM+07] are prominent modeling formalisms underlying the Web Ontology Language (OWL). The lightweight DL EL in particular is used to formulate many biomedical ontologies. DLs allow to represent subconcept-superconcept relationships between concepts, e.g., diseases, as well as more complex correspondences. Unification in DLs has been proposed as a non-standard reasoning task to detect redundant concepts in ontologies [BN01, BM10b]. Recently, disunification in EL has been investigated and several algorithms were proposed to solve disunification problems [BBM16].
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