Development of Fuzzy Logic Control Ontology for E-Learning
Nowadays, ontology is common in many areas like artificial intelligence, bioinformatics, e-commerce, education and many more. Ontology is one of the focus areas in the field of Information Retrieval. The purpose of an ontology is to describe a conceptual representation of concepts and their relationships within a particular domain. In other words, ontology provides a common vocabulary for anyone who needs to share information in the domain. There are several ontology domains in various fields including engineering and non-engineering knowledge. However, there are only a few available ontology for engineering knowledge. Fuzzy logic as engineering knowledge is still not available as ontology domain. In general, fuzzy logic requires step-by-step guidelines and instructions of lab experiments. In this study, we presented domain ontology for Fuzzy Logic Control (FLC) knowledge. We give Table of Content (ToC) with middle strategy based on the Uschold and King method to develop FLC ontology. The proposed framework is developed using Protégé as the ontology tool. The Protégé’s ontology reasoner, known as the Pellet reasoner is then used to validate the presented framework. The presented framework offers better performance based on consistency and classification parameter index. In general, this ontology can provide a platform to anyone who needs to understand FLC knowledge.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1127641Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 741
 Dombeu, J. V. F., & Huisman, M. Combining ontology development methodologies and semantic web platforms for e-government domain ontology development. arXiv preprint arXiv:1104.4966.
 Uschold, M., & King, M. Towards a methodology for building ontologies (pp. 15-30). Edinburgh: Artificial Intelligence Applications Institute, University of Edinburgh.
 Burger, J., Cardie, C., Chaudhri, V., Gaizauskas, R., Harabagiu, S., Israel, D., & Moldovan, D. Issues, tasks and program structures to roadmap research in question & answering (Q&A). In Document Understanding Conferences Roadmapping Documents (pp. 1-35).
 Gruber, T. R. A translation approach to portable ontology specifications. Knowledge acquisition, 5(2), 199-220.
 Gruninger, M., and Fox, M. S. Methodology for the Design and Evaluation of Ontologies. Workshop on Basic Ontological Issues in Knowledge Sharing, IJCAI-95, Montreal.
 Natalya F. Noy and Deborah L. McGuinness. Ontology development 101: A guide to creating your first ontology. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report, March 2001.
 Gavrilova, T., Farzan, R., & Brusilovsky, P. One practical algorithm of creating teaching ontologies. In 12th International Network-Based Education Conference NBE (pp. 29-37).
 Yun, H. Y., Xu, J. L., Wei, M. J., & Xiong, J. Development of domain ontology for e-learning course. In IT in Medicine & Education, 2009. ITIME'09. IEEE International Symposium on (Vol. 1, pp. 501-506). IEEE.
 Corcho, O., Fernandez-Lopez, M., and Gomez-Perez, A. Ontological Engineering: What Are Ontologies and How Can We Build Them?. Handbook on Ontologies, S. Staab and R. Studer (eds.). Springer, pp. 44-70
 Lassila, O. and Swick, R. Resource Description Framework (RDF) Model and Syntax Specification, W3C Recommendation 22 February 1999, World Wide Web Consortium, Cambridge (MA).
 Brickley, D., and Guha, R. V. RDF Vocabulary Description Language 1.0: RDF Schema, W3C Recommendation, February 2004.
 McGuinness, D. L., and Harmelen, F. V. OWL Web Ontology Language Overview. W3C Recommendation, 10 February 2004.
 Abdullah, N. S., Indulska, M., & Sadiq, S. Compliance management ontology–a shared conceptualization for research and practice in compliance management. Information Systems Frontiers, 1-26.
 Apisakmontri, P., Nantajeewarawat, E., Ikeda, M., & Buranarach, M. An Ontology-based Framework for Semantic Reconciliation in Humanitarian Aid in Emergency Information Systems. Journal of Information Processing, 24(1), 73-82.
 Thuan, N. H., Antunes, P., Johnstone, D., & Ha, X. S. Building an enterprise ontology of business process crowdsourcing: a design science approach. PACIS 2015 Proceedings.
 Mukhopadhyay, A. An Ontological Approach to Engineering Requirement Representation and Analysis (Doctoral dissertation, Texas State University).
 Al-Yahya, M., Al-Shaman, M., Al-Otaiby, N., Al-Sultan, W., Al-Zahrani, A., & Al-Dalbahie, M. Ontology-Based Semantic Annotation of Arabic Language Text. International Journal of Modern Education and Computer Science, 7(7), 53.
 Adenuga, O. A., Kekwaletswe, R. M., & Coleman, A. eHealth integration and interoperability issues: towards a solution through enterprise architecture. Health information science and systems, 3(1), 1.
 Mobgraber, J., Schenk, M., and Hilbring, D. Modelling of an Ontology for a Communication Platform. The Ninth International Conference on Advances in Semantic Processing, SEMAPRO, 2015.
 Matthies, B. What to Do With All These Project Documentations? – Research Issues in Reusing Codified Project Knowledge. In Pasific Asia Conference on Information Systems (PACIS) 2015.
 Gómez-Pérez, A., Juristo, N., & Pazos, J. Evaluation and assessment of knowledge sharing technology. Towards very large knowledge bases, 289-296.
 Sirin, E., Parsia, B., Grau, B. C., Kalyanpur, A., & Katz, Y. Pellet: A practical owl-dl reasoner. Web Semantics: science, services and agents on the World Wide Web, 5(2), 51-53. Wang, J., & Zhou, C. (2014, June). Research on ontology building and pricing of customized product. In 2014 11th International Conference on Service Systems and Service Management (ICSSSM) (pp. 1-5). IEEE.
 Ferrández, O., Izquierdo, R., Ferrández, S., & Vicedo, J. L. Addressing ontology-based question answering with collections of user queries. Information Processing & Management, 45(2), 175-188.
 Wang, Jing, and Chenyang Zhou. "Research on ontology building and pricing of customized product." 2014 11th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2014.-