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Warianty tytułu
Opracowanie metody pomiaru semantycznego w systemie ontologicznym
Języki publikacji
Abstrakty
Ontology selection is an important challenge in the field of ontology engineering. A feasible solution of ontology selection is to measure and evaluate the candidate ontologies, and further select and reuse the high-quality ontologies from them according to some measurement criteria. In this paper, we designed an ontology measurement system (ONTOM) for measuring the quality of candidate ontologies by integrating our semantic ontology metrics into ONTOM. The experiments show that ONTOM can effective measure the semantic quality of ontologies for ontology reuse.
W artykule przedstawiono system pomiaru ontologii ONTOM, realizujący dwie główne funkcje: pomiar semantyk ontologii oraz określenie parametru jakościowego ontologii. W pierwszym punkcie dokonany jest dobór czynników, które należy uwzględnić w pomiarze. W drugim kroku działań chodzi o określenie parametru odzwierciedlającego ontologię danego kandydata. Przedstawiono wyniki badań eksperymentalnych.
Wydawca
Czasopismo
Rocznik
Tom
Strony
115--120
Opis fizyczny
Bibliogr. 15 poz., schem., tab.
Twórcy
autor
- School of Control and Computer Engineering, Electric Power University, Beijing 102206, China
autor
- School of Control and Computer Engineering, Electric Power University, Beijing, China
autor
- University of Chinese Academy of Sciences, Beijing 100049, China
Bibliografia
- [1] Mizoguchi, R., Tutorial on ontological engineering: part 3: Advanced course of ontological engineering, New Generation Computing, 22 (2004), no.2, 198-220.
- [2] Zhou, H., Jing, X., Pan R. and Zhang X. Ontology Theroy Based Process Planning and Supporting System under Emanufacturing, Przeglad Elektrotechniczny, 88(2012), no.1B, 107-110.
- [3] Li, D., Finin, Y., Joshi, A., Pan, P., Cost, S., Peng, Y., Reddivari, P., Doshi, R., and Sachs, J., Swoogle: A Search and Metadata Engine for the Semantic Web, Proceedings of CIKM2004, (2004) 652–659.
- [4] DeMarco T. Controlling Software Projects. Management, Measurement and Estimation, Yourdon Press, 1982.
- [5] Tartir S, Arpinar IB, Moore M, Sheth AP, Aleman-Meza B, OntoQA: Metric-based ontology quality analysis, Proceedings of IEEEWorkshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources, 2005.
- [6] Ma, Y., Wu, H., Ma, X., Jin, B., Huang, T. and Wei, J., Stable cohesion metrics for evolving ontologies, Journal of Software Maintenance and Evolution: Research and Practice, 23(2011), No.5, 343-359
- [7] Baader, F., et al., The description logic handbook: theory Implementation and Applications, Cambridge University Press, 2003.
- [8] Chae, H.S., Kwon, Y.R., Bae, D.H., A cohesion measure for object-oriented classes, Software Practice and Experience, 30(2000), no.12, 1405-1431.
- [9] Ma Y., Towards Stable Semantic Ontology Measurement. Proceedings of International Semantic Web Conference (ISWC2010), (2010) 21-24.
- [10] Motik, B., Reasoning in Description Logics using Resolution and Deductive Databases. PhD Thesis, University of Karlsruhe, Karlsruhe, Germany, 2006
- [11] Gangemi A, et al., Qood grid: A metaontology based framework for ontology evaluation and selection, Proceedings of Workshop EON2006, May 2006.
- [12] Lozano-Tello A, Gomez-Perez A, OntoMetric: A method to choose the appropriate ontology, Journal of Database Management, 15(2004), no.2,1-18.
- [13] Oh S., Yeom H.Y., Ahn J.,Cohesion and coupling metrics for ontology modules. Information Technology and Management, 12(2011), no.2, 81-96.
- [14] Deng X, Volker H, Nematollaah S, Measuring inconsistencies in ontologies, Proceedings of ESWC2007, (2007) 326-340.
- [15] Grau B., et al. Completeness Guarantees for Incomplete Ontology Reasoners: Theory and Practice. Journal of Artificial Intelligence Research, 43(2012), 419-476.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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