Abstract
Ontology Summarization has been found useful to facilitate ontology engineering tasks in a number of different ways. Recently, it has been recognised as a means to facilitate ontology understanding and then support tasks like ontology reuse in ontology construction. Among the works in literature, not only distinctive methods are used to summarize ontology, also different measures are deployed to evaluate the summarization results. Without a set of common evaluation measures in place, it is not possible to compare the performance and therefore judge the effectiveness of those summarization methods. In this paper, we investigate the applicability of the evaluation measures from ontology evaluation and summary evaluation domain for ontology summary evaluation. Based on those measures, we evaluate the performances of the existing user-driven ontology summarization approaches.
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References
Peroni, S., Motta, E., d’Aquin, M.: Identifying Key Concepts in an Ontology Through the Integration of Cognitive Principles with Statistical and Topological Measures. In: 3rd Asian Semantic Web Conference, Bangkok, Thailand (2008)
Zhang, X., Cheng, G., Qu, Y.: Ontology Summarization Based on RDF Sentence Graph. In: 16th Inter. World Wide Web Conference Banff, Alberta, Canada, May 8-12 (2007)
Zhang, X., Cheng, G., Ge, W., Qu, Y.: Summarizing Vocabularies in the Global Semantic Web. Journal of Computer Science and Technology 24(1), 165–174 (2009)
Brank, J., Grobelnik, M., Mladenic., D.: A Survey of Ontology Evaluation Techniques. In: Conference on Data Mining and Data Warehouses (SiKDD), Ljubljana, Slovenia (2005)
Alani, H., Harris, S., O’Neil, B.: Winnowing Ontologies Based on Application Use. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 185–199. Springer, Heidelberg (2006)
Fokoue, A., Kershenbaum, A., Ma, L., Schonberg, E., Srinivas, K.: The Summary Abox: Cutting Ontologies Down to Size. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 343–356. Springer, Heidelberg (2006)
Erkan, G., Radev, D.R.: LexRank: Graph-based Lexical Centrality as Salience in Text Summarization. Journal of Artificial Intelligence Research 22, 457–479 (2004)
Hartmann, J., Sure, Y., Giboin, A., Maynard, D., Suarez-Figueroa, M.C., Cuel, R.: Methods for Ontology Evaluation. Knowledge Web Deliverable D1.2.3 (2005)
Sabou, M., Lopez, V., Motta, E., Uren, V.: Ontology Selection: Ontology Evaluation on the Real Semantic Web. In: Workshop: Evaluation of Ontologies for the Web (EON) at 15th International World Wide Web Conference, Edinburgh (2006)
Maedche, A., Staab, S.: Measuring Similarity between Ontologies. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, p. 251. Springer, Heidelberg (2002)
Donaway, R.L., Drummey, K.W., Mather, L.A.: A Comparison of Rankings Produced by Summarization Evaluation Measures. In: ANLP/NAACL Workshop on Automatic Summarization, pp. 69–78 (2000)
Jing, H., McKeown, K., Barzilay, R., Elhadad, M.: Summarization Evaluation Methods: Experiments and Analysis. In: American Association for Artificial Intelligence Spring Symposium Series, pp. 60–68 (1998)
Sheskin, D.J.: Handbook of Parametric and Nonparametric Statistical Procedures. CRC Press, Boca Raton (1997)
Lopez, V., Guidi, D., Motta, E., Peroni, S., d’Aquin, M., Gridinoc, L.: Evaluation of Semantic Web Applications. OpenKnowledge Project Deliverable, D8.5 (2008)
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Li, N., Motta, E. (2010). Evaluations of User-Driven Ontology Summarization. In: Cimiano, P., Pinto, H.S. (eds) Knowledge Engineering and Management by the Masses. EKAW 2010. Lecture Notes in Computer Science(), vol 6317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16438-5_44
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DOI: https://doi.org/10.1007/978-3-642-16438-5_44
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