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Journal articles on the topic 'Ontology modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

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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3

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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5

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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9

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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11

Ernst, Neil A., Margaret-Anne Storey, and Polly Allen. "Cognitive support for ontology modeling." International Journal of Human-Computer Studies 62, no. 5 (2005): 553–77. http://dx.doi.org/10.1016/j.ijhcs.2005.02.006.

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12

Liu, Lei, Peng Zhang, Rong Fan, Rui Zhang, and Hongji Yang. "Modeling ontology evolution with SetPi." Information Sciences 255 (January 2014): 155–69. http://dx.doi.org/10.1016/j.ins.2013.07.017.

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13

Sanches, Henderson Matsuura, and Marilia Miranda Forte Gomes. "PROTÉGÉ 5.6.5 FERRAMENTA OPEN-SOURCE PARA CRIAÇÃO DE ONTOLOGIA EM WEB ONTOLOGY LANGUAGE (OWL)." Revista ft 29, no. 144 (2025): 09–10. https://doi.org/10.69849/revistaft/dt10202503262309.

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ABSTRACT Protégé 5.6.5 is an open source ontology creation tool with notable performance improvements and updates to the OWL API. While it does not offer direct integration with healthcare standards such as HL7 and DICOM, its semantic modeling capabilities facilitate interoperability through complementary tools. In healthcare, Protégé supports the creation of clinical decision support and knowledge management systems, driving data analysis and sharing. Keywords: Modeling, OWL, Ontology, OWLAPI, Protégé.

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Wang, Bo, Li Min Zhang, Yan Li, and Guo Zhang. "Research on Modeling Virtual Battlefield Based-On Ontology." Applied Mechanics and Materials 58-60 (June 2011): 1749–55. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1749.

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Ontology is applied to agent modeling and reasoning is one approach for research on agents. Modeling virtual battlefield based-on ontology is proposed to support computer generated forces base-on agent technology. Researches of ontology being applied to military modeling and environment modeling are analyzed. The virtual battlefield ontology model is presented. The model includes four domains: nature environment, physical objects, situation and operation plan. Models of the four domain ontology are built. The model provides consistent semantic representation and common understanding for knowle

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15

Zuo, Hui, and Dan Xiang Ai. "Context Ontology Modeling for Mobile Petrol Station Recommendation." Applied Mechanics and Materials 291-294 (February 2013): 2849–52. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2849.

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To support the personalized mobile recommendation service, a context modeling approach based on ontology was proposed. The role of context ontologies in mobile recommenders was discussed, and under the application background of petrol station recommendation, a two-level context ontology model was designed. The model contains an upper ontology to describe general concepts, and a domain ontology extended from the upper ontology. The context ontology provides formalizations representing the mainly entities including users, objects and contexts, and their interactive relationships in mobile recomm

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Lazarre, Warda, Kaladzavi Guidedi, Samdalle Amaria, and Kolyang. "Modular Ontology Design: A State-of-Art of Diseases Ontology Modeling and Possible Issue." Revue d'Intelligence Artificielle 36, no. 3 (2022): 497–501. http://dx.doi.org/10.18280/ria.360319.

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The evolution of ontological engineering leaded authors to use some techniques of software engineering to design ontologies. Are obtained from these techniques the monolithic or modularized Ontologies. When is difficult to reuse some concepts of monolithic ontologies, modularized Ontologies facilitate ontology management, understandability and reuse. This paper aims to survey on ontology modularization techniques and their contribution in biomedical ontologies design. Modularization reposed on appropriated techniques and some challenges related to ontology reused, scalable querying, collaborat

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Zheng, Bei Rong, Wei Xue, and Xiao Wen Xie. "Reconfigurable Manufacturing Resource Modeling Technology." Advanced Materials Research 341-342 (September 2011): 364–68. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.364.

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How to model reconfigurable resources, how to make manufacturing resources to rapidly form into new production functions and capability is an unsolved problem. Based on current manufacturing resource knowledge representation, in the paper, manufacturing resource ontology modeling method is presented which has considered characteristics of reconfigurable manufacturing system (RMS), configuration changeable and system adjustable. Furthermore, resource description ontology is defined and example model is also presented; after formalize the concepts, attributes and relations of ontology, the knowl

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18

He, Hong Peng, Yan Hao Huang, Jun Liu, and Jian Lei Fan. "Research on Ontology Modeling Method of Smart Grid." Applied Mechanics and Materials 291-294 (February 2013): 2079–83. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2079.

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Smart grid makes new request for the representation and application of power grid knowledge. To solve the problem of “information isolated island” caused by the continuous development of power grid and the ineffectively use of massive domain knowledge, ontology technology is introduced into the smart grid field. Each link of smart grid is analyzed and new request for knowledge it makes is introduced. Then a simple introduction of ontology and ontology modeling is made. Referring to the defects of existing ontology modeling methods and considering the specific reality of smart grid, an ontology

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19

Hocaoğlu, Mehmat Fatih. "Perdurantist Modeling and Reasoning in Ontology-based Modeling." SNE Simulation Notes Europe 24, no. 2 (2014): 95–104. http://dx.doi.org/10.11128/sne.24.tn.10246.

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20

Alakwaa, Wafaa, and Akram Salah. "Ontology Modeling Profile , an Extension for the Ontology UML Profile." International Journal of Computer Applications 6, no. 12 (2010): 21–28. http://dx.doi.org/10.5120/1124-1473.

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21

Sun, Li Li, Feng He, and Xiao Li Meng. "BPMO-Based OWL Representation of Business Processes." Advanced Materials Research 546-547 (July 2012): 651–55. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.651.

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Semantic process modeling approaches are used in modelling, making use of the process ontology, which is the preferred BPMO. In the process of semantically modeling, using ontology to describe the business process is an important step. Therefore, the text proposed for BPMO-based OWL representation of business process, lays the foundation for resolving issues, such as semantic annotation, machine-understandable, and reasoning on business process. We will put forward the construction and representation of our business process knowledge; examine the workshop business process activities; according

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22

Shao, Wei Ping, Chun Yan Wang, Yong Ping Hao, Peng Fei Zeng, and Xiao Lei Xu. "Ontology-Based Workflow Semantic Representation and Modeling Method." Advanced Materials Research 129-131 (August 2010): 50–54. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.50.

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An ontology-based workflow (workflow-ontology) representation method was proposed after analyzing that not only structure information but also semantic information were needed in a workflow model. Workflow-ontology concepts were composed by class and subclass of the workflow. Concepts’ properties including their values and characteristics were redefined, and then, workflow-ontology modeling method was put forward based on the ontology expresses and definitions above. With the example of applying in products examined and approved workflows, the corresponding workflow-ontology model (WFO) was bu

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23

Saba, Farzaneh, and Yasser Mohamed. "An ontology-driven framework for enhancing reusability of distributed simulation modeling of industrial construction processes." Canadian Journal of Civil Engineering 40, no. 9 (2013): 917–26. http://dx.doi.org/10.1139/cjce-2011-0489.

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This paper describes an ontology-driven framework for developing distributed simulation modeling of construction processes. The research described in the paper is motivated by the necessity of knowledge sharing between distributed simulation modeling collaborators, and reuse and portability challenges in construction simulation models. Our approach addresses these challenges through ontological modeling and linking of construction simulation modeling components including (i) ontology of construction process, (ii) ontology of simulation world view, and (iii) ontology of distributed simulation m

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24

Zhai, Jun, Jian Feng Li, and Yan Chen. "Knowledge Modeling of Product Data Based on Fuzzy Ontology." Applied Mechanics and Materials 26-28 (June 2010): 347–51. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.347.

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Ontology is the basis of knowledge modeling on the Semantic Web, and fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. Ontology-base knowledge modeling of product data management (PDM) is meaningful for product design and trade etc. In order to handle fuzzy phenomenon and uncertainty of product knowledge, this paper proposes a series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguistic variable ontologies. Then, a fuzzy ontology framework is presented, including three parts: concepts, properties of concepts and values of pro

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Liu, Jia Bao, and Xiao Feng Zhou. "Study on Feature Modeling Based on Ontology." Applied Mechanics and Materials 385-386 (August 2013): 1760–63. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1760.

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Feature-oriented domain analysis has become a more popular method for domain analysis today. However, feature model the main products of feature-oriented domain analysis method is very difficult to translate into the form of machine recognition. Moreover, it can't model detection. Feature model based on ontology can make up for these shortcomings, so this paper will study on feature modeling based on ontology. The main contents of this paper are: relationship between feature model and ontology, feature modeling framework based on ontology, the advantage and disadvantage of feature model based

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26

Artemieva, Irene L., and Natalya V. Ryabchenko. "Nanomaterials Ontology Model." Advanced Materials Research 905 (April 2014): 65–69. http://dx.doi.org/10.4028/www.scientific.net/amr.905.65.

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Using intelligent modeling systems for explaining the results of calculations in terms of a particular domain provides more options by contrast with program systems of other classes. A formally described domain ontology that defines the unambiguous interpretation of the terms makes it possible to develop intelligent modeling systems combining knowledge and data of different sections of this domain and program systems for solving application issues. Nanoscience is of a cross-disciplinary nature which implies the necessity to use knowledge of various disciplines, i.e. there are ontologies of oth

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Chen, Jie. "Study on an Ontology-Based Design Knowledge Modeling Algorithm." Advanced Materials Research 426 (January 2012): 382–86. http://dx.doi.org/10.4028/www.scientific.net/amr.426.382.

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In this paper, we concentrate on the ontology-Based design knowledge modeling technologies for the construction machinery. For that, we study the ontology modeling theory, the representation of product design knowledge and the ontology modeling of design knowledge, etc. From the design knowledge management’s angle, design knowledge modeling approach is studied to support the design knowledge development, transfer and reuse for the construction machinery.

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Ai, Dan Xiang, Hui Zuo, and Jun Yang. "Ontology-Based Context Modeling for Mobile Catering Recommendation." Advanced Materials Research 662 (February 2013): 953–56. http://dx.doi.org/10.4028/www.scientific.net/amr.662.953.

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To support context-aware mobile recommendation, an ontology-based context modeling approach was proposed. We analyzed the framework of the mobile recommender system based on contextual model and suggested designing the model with two-layer structure including an upper ontology layer and a domain ontology layer. The ontologies provides formalizations representing the main entities, including users, objects, contexts, and their interactive relationships in mobile recommendation environments. A specific context ontology model for catering recommendation was developed and a use case of the instant

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Dubielewicz, Iwona, Bogumiła Hnatkowska, Zbigniew Huzar, and Lech Tuzinkiewicz. "Domain Modeling in the Context of Ontology." Foundations of Computing and Decision Sciences 40, no. 1 (2015): 3–15. http://dx.doi.org/10.1515/fcds-2015-0001.

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Abstract The domain knowledge represented by ontology should be widely used in the design process of information system. The aim of the paper is to outline a systematic approach of developing a CIM model (domain model, precisely) on the basis of a selected domain ontology. There are presented some hints how ontology concepts can be expressed in domain model. Elaborated example realizes some difficulties in proposed approach, e.g. the domain knowledge is spread over many ontologies, some facts are defined at very general level (their interpretation is more difficult), ontology may contain many

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30

CHAN, CHRISTINE W. "FROM KNOWLEDGE MODELING TO ONTOLOGY CONSTRUCTION." International Journal of Software Engineering and Knowledge Engineering 14, no. 06 (2004): 603–24. http://dx.doi.org/10.1142/s0218194004001816.

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This paper presents the Knowledge Modeling System (KMS) and its application. The KMS supports users in formalizing and documenting knowledge elements acquired for development of knowledge-based systems. The system was developed based on a knowledge modeling technique called the Inferential Modeling Technique. It facilitates building an application ontology of a domain by explicitly structuring and formalizing both domain and task knowledge of any industrial problem domain. The system also supports knowledge sharing by converting the ontology into the Extensible Mark-Up Language (XML). The tool

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Carvalho, Rommel N., Kathryn B. Laskey, and Paulo C. G. Da Costa. "Uncertainty modeling process for semantic technology." PeerJ Computer Science 2 (August 15, 2016): e77. http://dx.doi.org/10.7717/peerj-cs.77.

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The ubiquity of uncertainty across application domains generates a need for principled support for uncertainty management in semantically aware systems. A probabilistic ontology provides constructs for representing uncertainty in domain ontologies. While the literature has been growing on formalisms for representing uncertainty in ontologies, there remains little guidance in the knowledge engineering literature for how to design probabilistic ontologies. To address the gap, this paper presents the Uncertainty Modeling Process for Semantic Technology (UMP-ST), a new methodology for modeling pro

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32

Zeng, Qing Liang, Xi Wei Wang, Li Rong Wan, Zhi Hai Liu, and Yuan Jun Wang. "Coal Face "Three-Machine" Selection and Matching Knowledge Modeling Based on Ontology." Advanced Materials Research 291-294 (July 2011): 2374–78. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.2374.

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The successful matchings of the coal face equipments can fully play the effect of complete sets of equipments and achieve high yields and efficiency on coal faces .in this paper, ontology is used in the "three-machine"selection and matching knowledge modeling, which adopts the thought of combination on lateral and vertical modelings, and reuses the semantic body technology according to the characteristics of "three-machine" knowledge. As a result, the efficiency of ontology construction is improved largely and ontology structuration and standardization are strengthened. The ontology not only p

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Hartley III, S. "Ontology Structures for Modeling Irregular Warfare." Military Operations Research 17, no. 2 (2012): 5–18. http://dx.doi.org/10.5711/1082598317205.

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34

Evermann, Joerg, and Yair Wand. "Ontology Based Object-Oriented Domain Modeling." Journal of Database Management 20, no. 1 (2009): 48–77. http://dx.doi.org/10.4018/jdm.2009010103.

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35

Bera, Palash, Anna Krasnoperova, and Yair Wand. "Using Ontology Languages for Conceptual Modeling." Journal of Database Management 21, no. 1 (2010): 1–28. http://dx.doi.org/10.4018/jdm.2010112301.

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Conceptual models are used to support understanding of and communication about application domains in information systems development. Such models are created using modeling grammars (usually employing graphic representation). To be effective, a grammar should support precise representation of domain concepts and their relationships. Ontology languages such as OWL emerged to define terminologies to support information sharing on the Web. These languages have features that enable representation of semantic relationships among domain concepts and of domain rules, not readily possible with extant

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Storey, Veda C. "Conceptual Modeling Meets Domain Ontology Development." Journal of Database Management 28, no. 1 (2017): 18–30. http://dx.doi.org/10.4018/jdm.2017010102.

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Domain ontologies and conceptual models similarly capture and represent concepts from the real world for inclusion in an information system. This paper examines challenges of conceptual modeling and domain ontology development when mapping to high-level ontologies. The intent is to reconcile apparent differences and position some of the inherent challenges in these closely-coupled areas of research, while providing insights into recognizing and resolving modeling difficulties.

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Taioun Kim, 이해경, and CHANGSEONG KO. "Ontology Modeling for Supply Chain Partnership." Korean Journal of Logistics 18, no. 1 (2010): 5–19. http://dx.doi.org/10.15735/kls.2010.18.1.001.

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Haug, P. J., J. P. Ferraro, J. Holmen, et al. "An ontology-driven, diagnostic modeling system." Journal of the American Medical Informatics Association 20, e1 (2013): e102-e110. http://dx.doi.org/10.1136/amiajnl-2012-001376.

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Aguilar, Jose, Marxjhony Jerez, and Taniana Rodríguez. "CAMeOnto: Context awareness meta ontology modeling." Applied Computing and Informatics 14, no. 2 (2018): 202–13. http://dx.doi.org/10.1016/j.aci.2017.08.001.

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Zhang, Rui, Degui Guo, Wenjuan Gao, and Lei Liu. "Modeling ontology evolution via Pi-Calculus." Information Sciences 346-347 (June 2016): 286–301. http://dx.doi.org/10.1016/j.ins.2016.01.059.

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Venkatesh, Madala. "Navigation Cost Modeling Based On Ontology." IOSR Journal of Computer Engineering 4, no. 3 (2012): 34–39. http://dx.doi.org/10.9790/0661-0433439.

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Carvalho, Victorio A., João Paulo A. Almeida, Claudenir M. Fonseca, and Giancarlo Guizzardi. "Multi-level ontology-based conceptual modeling." Data & Knowledge Engineering 109 (May 2017): 3–24. http://dx.doi.org/10.1016/j.datak.2017.03.002.

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Gailly, Frederik, Wim Laurier, and Geert Poels. "Positioning and Formalizing the REA Enterprise Ontology." Journal of Information Systems 22, no. 2 (2008): 219–48. http://dx.doi.org/10.2308/jis.2008.22.2.219.

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ABSTRACT: Recent Resource, Event, Agent (REA) research has focused on defining and theoretically justifying the ontology's contents. Here, we elaborate on more practical issues related to REA. First, we classify REA and its applications using ontology classification schemes and application frameworks. This analysis clarifies REA's application potential but also reveals weaknesses that may impede its operationalization. Next, we propose a new REA ontology specification that uses a Unified Modeling Language (UML) profile for graphically representing ontologies. This new specification is more com

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Agárdi, Anita, and László Kovács. "Property-Based Quality Measures in Ontology Modeling." Applied Sciences 12, no. 23 (2022): 12475. http://dx.doi.org/10.3390/app122312475.

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The development of an appropriate ontology model is usually a hard task. One of the main issues is that ontology developers usually concentrate on classes and neglect the role of properties. This paper analyzes the role of an appropriate property set in providing multi-purpose ontology models with a high level of re-usability in different areas. In this paper, novel quality metrics related to property components are introduced and a conversion method is presented to map the base ontology into models for software development. The benefits of the proposed quality metrics and the usability of the

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Agárdi, Anita. "The conversion of the higher education and literature ontology into RelOntoUML." Production Systems and Information Engineering 10, no. 1 (2022): 110–16. http://dx.doi.org/10.32968/psaie.2022.1.10.

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In this article, I will transform an ontology representing higher education and an ontology representing a library into the RelOntoUML model. RelOntoUML modeling is a modeling created from a combination of relational model, ontology, and UML modeling. The relational model is used for database storage. The data is stored in relations. Ontology is a tool for knowledge representation. The ontology describes the elements of a topic. The UML model visually represents the elements of a topic. One of the disadvantages of the ontology model is that software developers are not familiar with it, but UML

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Hong-guang, BO, Li Longlong, and Li Zhixiang. "HIGH-SPEED LOCOMOTIVE XBOM ONTOLOGY MODELING RESEARCH SUPPORTING MRO SEMANTIC KNOWLEDGE REPRESENTATION." International Journal of Engineering Technologies and Management Research 5, no. 3 (2020): 33–43. http://dx.doi.org/10.29121/ijetmr.v5.i3.2018.175.

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The new trends of high-speed rail locomotive manufacturing set higher requirement for MRO knowledge representation and XBOM. Therefore, XBOM ontology modeling supporting MRO semantic knowledge representation has become an important research topic of the high speed railway locomotive manufacturing industry. This paper firstly expounds the model frame of high-speed locomotive XBOM ontology, then take the global ontology, the construction ontology and the maintenance plan ontology as examples; respectively carding and analyzing four approaches each ontology contains that class (concept), object,

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BO, Hong-guang, Longlong Li, and Zhixiang Li. "HIGH-SPEED LOCOMOTIVE XBOM ONTOLOGY MODELING RESEARCH SUPPORTING MRO SEMANTIC KNOWLEDGE REPRESENTATION." International Journal of Engineering Technologies and Management Research 5, no. 3 (2018): 33–43. https://doi.org/10.5281/zenodo.1206026.

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<strong><em>The new trends of high-speed rail locomotive manufacturing set higher requirement for MRO knowledge representation and XBOM. Therefore, XBOM ontology modeling supporting MRO semantic knowledge representation has become an important research topic of the high speed railway locomotive manufacturing industry. This paper firstly expounds the model frame of high-speed locomotive XBOM ontology, then take the global ontology, the construction ontology and the maintenance plan ontology as examples; respectively carding and analyzing four approaches each ontology contains that class (concep

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Sanches, Henderson Matsuura, and Marilia Miranda Forte Gomes. "PROTÉGÉ 5.6.4 FERRAMENTA PARA CRIAÇÃO DE ONTOLOGIA EM WEB ONTOLOGY LANGUAGE (OWL)." Revista ft 29, no. 141 (2024): 29–30. https://doi.org/10.69849/revistaft/ar10202412240029.

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Protégé is a tool developed by the Biomedical Informatics Research Center at Stanford University and is multiplatform open source and can be installed on Windows, MacOSX and GNU\Linux to build the ontology. Protégé 5.6.4 was released on April 18, 2024 with the latest version of the ontology editor being its Web Ontology Language (OWL) representation. This article provides an in-depth analysis of the improvements implemented in Protégé 5.6.4 over version 5.6.3. Through a detailed comparison, including updating OWLAPI, selecting explanation services, and correcting the preferences dialog. Protég

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Zhang, Li, Da Li Jiang, Ya Rong Ju, Qian Zhu Wang, and Pei Pei Li. "Managing Emergency Material Distribution Knowledge Using Ontology-Based Modeling for Emergency Distribution Decision." Advanced Materials Research 605-607 (December 2012): 2337–40. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2337.

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Aiming at the knowledge representation problem in emergency logistics, this paper presents an ontology-based modeling framework for emergency distribution decision. The suggested ontology model includes the meta-ontology, the domain ontology and the upper relationship, and it can be extended to meet the various requirements in emergency logistics application. As an illustrative example, an instance of Location Routing Problem (LRP) is defined using proposed ontology model, and a rule-based reasoning experiment is developed with Jena. The result of experiment demonstrates the effectiveness of t

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Chen, Z. S., Yong Min Yang, and L. J. Song. "Ontology-Based Representation of Heterogeneous Mechanical Systems Information for Integrated Diagnostics." Applied Mechanics and Materials 29-32 (August 2010): 258–63. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.258.

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During fault diagnostics of mechanical systems, information fusion methods were widely used to improve the reliability. However, diagnostic information comes from all life cycle of a mechanical device and they are always heterogeneous. Whereas heterogeneous information is difficult to be interconnecting, intercommunicating and inter-operating, so how to represent heterogeneous information is a key problem in integrated diagnostics. In this paper, a novel ontology-based representation method of heterogeneous diagnostic information is presented in detail. Firstly it introduces basic principles o

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