Abstract
Ontologies are becoming increasingly more popular tools for many tasks, such as information integration, information retrieval, knowledge management and extraction etc. The cost and complexity of developing good ontologies is high, and therefore it is important to be able to verify the ontology and detect flaws early. In this paper we propose an approach to expose desirable properties of ontological structures. The approach is based on an ontological profile which is an ontology extended with a vector of weighted terms describing the semantics of each concept of the ontology. We describe four hypotheses for the relations among the classes of the ontology and perform experiments to verify them. Our initial findings are that the experiments support the hypotheses.
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References
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, New York (1999)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American (May 2001)
Gruber, T.R.: A translational approach to portable ontologies. Knowledge Acquisition 5(2) (1993)
Guarino, N., Welty, C.A.: An overview of OntoClean. In: Staab, S., Studer, R. (eds.) Handbook on ontologies. International Handbooks on Information Systems. Springer, Heidelberg (2004)
Justeson, J., Katz, S.: Technical terminology: some linguistic properties and an algorithm for indentification in text. Natural Language Engineering 1(1), 9–27 (1995)
Porter, M.F.: An algorithm for suffix stripping. Program 14(3), 130–137 (1980)
Solskinnsbakk, G., Gulla, J.A.: Ontological Profiles as Semantic Domain Representations. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds.) NLDB 2008. LNCS, vol. 5039, pp. 67–78. Springer, Heidelberg (2008)
Su, X.: Semantic Enrichment for Ontology Mapping. PhD Thesis, Norwegian University of Science and Technology, Trondheim, Norway (2004)
Völker, J., Vrandecic, D., Sure, Y.: Automatic Evaluation of Ontologies (AEON). In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 716–731. Springer, Heidelberg (2005)
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Solskinnsbakk, G., Gulla, J.A., Haderlein, V., Myrseth, P., Cerrato, O. (2010). Quality of Subsumption Hierarchies in Ontologies. In: Horacek, H., Métais, E., Muñoz, R., Wolska, M. (eds) Natural Language Processing and Information Systems. NLDB 2009. Lecture Notes in Computer Science, vol 5723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12550-8_21
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DOI: https://doi.org/10.1007/978-3-642-12550-8_21
Publisher Name: Springer, Berlin, Heidelberg
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