Abstract
Ontology assessment is an important issue that has to be addressed during evolution process. It aims at evaluating the quality of ontology in different aspects. One of key aspects is the ontology stability. To compute the stability value of evolved ontology, we rely on a battery of semantic similarity measures especially those based on information content. These measures deal only with the subsumption relationship to compute similarity between two concepts of the same ontology. However, using only this relationship has been shown to be, very often, insufficient. To palliate such shortness, we advocate taking into account other types of relationships, that could improve the semantic relation. In this respect, we introduce a new information content based similarity measure that consider the property relationship in addition to the subsumption one. We show the advantages of this measure and how they asses stability of evolved ontology using our ontology enrichment procedure.
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References
Stojanovic, L.: Methods and Tools for Ontology Evolution. PhD thesis, University of Karlsruhe (2004)
Trousse, B., Aufore, M.A., Le Grand, B., Lechevakier, Y., Masseglia, F.: Web Usage Mining for ontology management in Data mining Mining with ontologies imlementations, finding, and frameworks. ch. 3, pp. 37–64 (2009)
Luong, P.H., Dieng-Kuntz, R.: A Rule-based Approach for Semantic Annotation Evolution. The Computational Intelligence Journal 23(3), 320–338 (2007)
Gangemi, A., Catenacci, C., Ciaramita, M., Lehmann, J.: Modelling ontology evaluation and validation. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 140–154. Springer, Heidelberg (2006)
Orme, A.M., Yao, H., Etzkorn, L.H.: Complexity metrics for ontology based information. International Journal of Technology Management 47(1-3), 161–173 (2009)
Brank, J., Grobelnik, M., Mladenic, D.: A Survey of Ontology Evaluation Techniques. In: Proc. of the Conference on Data Mining and Data Warehouses (SiKDD 2005), Ljubljana, Slovenia, pp. 165–170 (2005)
Kamoun, K., Ben Yahia, S.: Automatic Approach for Ontology Evolution based on Stability Evaluation. In: Proc. of 8th International Conference on Web Information Systems and Technologies (WEBIST 2012), Porto, Portugal, pp. 452–455 (April 2012)
Blanchard, E., Harzallah, M., Kuntz, P.: A generic framework for comparing semantic similarities on a subsumption hierarchy. In: Proc. of 18th European Conference on Artificial Intelligence (ECAI), Patrace, Greece, pp. 20–24 (2008)
Kamoun, K., Ben Yahia, S.: Information content similarity measure to assess stability during ontology enrichment. International Review on Computer and Software (IRECOS)Â 7(3) ( May 2012)
Kamoun, K., Ben Yahia, S.: A Novel Global Measure Approach based on Ontology Spectrum to Evaluate Ontology Enrichment. International Journal of Computer Applications 39(17), 23–30 (2012)
Resnik, P.: Semantic similarity in a taxonomy: An information based measure and its application to problems of ambiguity in natural language. Journal of Artificial Intelligence Research 11, 95–130 (1999)
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Kamoun, K., Ben Yahia, S. (2014). Stability Assess Based on Enhanced Information Content Similarity Measure for Ontology Enrichment. In: Ait Ameur, Y., Bellatreche, L., Papadopoulos, G.A. (eds) Model and Data Engineering. MEDI 2014. Lecture Notes in Computer Science, vol 8748. Springer, Cham. https://doi.org/10.1007/978-3-319-11587-0_15
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DOI: https://doi.org/10.1007/978-3-319-11587-0_15
Publisher Name: Springer, Cham
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