Abstract
Over the recent years, several approaches and tools for the automatic construction of ontologies from textual resources have been proposed. This paper provides a comparative analysis of four well known approaches and related tools among existing ones. The selected approaches and related tools indeed cover all the steps of the ontology construction process. In the first part of the paper, we introduce Methontology and related task i.e. a well-known reference methodology designed for the manual construction of ontology; then, according to Methontology, we analyze and classify detailed subtasks required by those approaches. Based on this uniform classification, we provide a very detailed comparison of those approaches: we explain the main techniques and introduce tools used in the various subtasks of each approach and we highlight the main similarities and differences between the techniques used in comparable subtasks belonging to distinct approaches. In the second part of the paper, we introduce various measures for evaluating tools effectiveness wrt a manually constructed ontology. Then, we evaluate and compare the key tools supporting those approaches by using the provided measures and a specific set of textual resources.
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References
Aime, X., Furst, F., Kuntz, P., Trichet, F.: Gradients de prototypicalité appliqués à la personnalisation d’ontologies. In: Actes de la Conférence Ingénierie des Connaissances (IC 2009), pp. 241–252 (2009)
Bourigault, D., Lame, G.: Analyse distributionnelle et structuration de terminologie. application á la construction d’une ontologie documentaire du droit. Traitement Automatique des Langues 43(1), 129–150 (2002)
Buitelaar, P., Cimiano, P., Magnini, B.: Ontology learning from text: an overview. In: Ontology Learning from Text: Methods, Applications and Evaluation, pp. 3–12. IOS Press (2005)
Cimiano, P., Völker, J.: Text2Onto - a Framework for Ontology Learning and Data-driven Change Discovery. In: Montoyo, A., Muńoz, R., Métais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 227–238. Springer, Heidelberg (2005)
Corcho, Ó., Fernández-López, M., Gómez-Pérez, A., López-Cima, A.: Building Legal Ontologies with METHONTOLOGY and WebODE. In: Benjamins, V.R., Casanovas, P., Breuker, J., Gangemi, A. (eds.) Law and the Semantic Web. LNCS (LNAI), vol. 3369, pp. 142–157. Springer, Heidelberg (2005)
Fernández-López, M., Gómez-Pérez, A., Juristo, N.: Methontology: From ontological art towards ontological engineering. In: Proc. of the AAA 1997 Spring Symposium Series on Ontological Engineering, pp. 33–40 (1997)
Gherasim, T., Harzallah, M., Berio, G., Kuntz, P.: Analyse comparative de méthodologies et d’outils de construction automatique d’ontologies á partir de ressources textuelles. In: EGC 2011 (2011)
Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquisition 5(2), 199–220 (1993)
Harris, Z.: Mathematical Structures of Language. John Wiley and Son (1968)
Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the 14th International Conference on Computational Linguistics, pp. 539–545 (1992)
Maynard, D., Funk, A., Peters, W.: Nlp-based support for ontology lifecycle development. In: Proc. of ISWC Workshop on Collaborative Construction, Management and Linking of Ontologies (2009a)
Maynard, D., Funk, A., Peters, W.: Sprat: a tool for automatic semantic pattern-based ontology population. In: Proc. of the Int. Conf. for Digital Libraries and the Semantic Web (2009b)
Navigli, R., Velardi, P.: Learning domain ontologies from document warehouses and dedicated web sites. Computational Linguistics 30(2), 151–179 (2004)
Navigli, R., Velardi, P.: Structural semantic interconnections: A knowledge-based approach to word sense disambiguation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 27(7), 1075–1086 (2005)
Navigli, R., Velardi, P., Gangemi, A.: Ontology learning and its application to automated terminology translation. IEEE Intelligent Systems 18(1), 22–31 (2003)
Nazarenko, A., Hamon, T.: Structuration de terminologie: quels outils pour quelles pratiques? Traitement Automatique des Langues. Structuration de Terminologie 43(1), 7–18 (2002)
Nedellec, C.: Semantic class learning and syntactic resources tuning. Technical report, Deliv. 6.4a for ALVIS (Superpeer semantic Search Engine) Project (2006)
Osborne, J., Flatow, J., Holko, M., Lin, S., Kibbe, W., Zhu, L., Danila, M., Feng, G., Chisholm, R.L.: Annotating the human genome with disease ontology. BMC Genomics 10(supl.1), 63–68 (2009)
Park, J., Cho, W., Rho, S.: Evaluating ontology extraction tools using a comprehensive evaluation framework. Data Knowl. Eng. 69, 1043–1061 (2011)
Salton, G., Yang, C., Yu, C.: A theory of term importance in automatic text analysis. Journal of the American Society for Information Science 26, 33–34 (1975)
Velardi, P., Cucchiarelli, A., Pétit, M.: A taxonomy learning method and its application to characterize a scientific web community. IEEE Trans. on Knowl. and Data Eng. 19(2), 180–191 (2007)
Velardi, P., Navigli, R., D’Amadio, P.: Mining the web to create specialized glossaries. IEEE Intelligent Systems 23(5), 18–25 (2008)
Volker, J., Sure, Y.: Data-driven change discovery - evaluation. Technical report, Deliv. D3.3.2 for SEKT Project, Instit. AIFB, Univ. of Karlsruhe, SEKT Deliv. (2006)
Zouaq, A., Nkambou, R.: A Survey of Domain Ontology Engineering: Methods and Tools. In: Nkambou, R., Bourdeau, J., Mizoguchi, R. (eds.) Advances in Intelligent Tutoring Systems. SCI, vol. 308, pp. 103–119. Springer, Heidelberg (2010)
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Gherasim, T., Harzallah, M., Berio, G., Kuntz, P. (2013). Methods and Tools for Automatic Construction of Ontologies from Textual Resources: A Framework for Comparison and Its Application. In: Guillet, F., Pinaud, B., Venturini, G., Zighed, D. (eds) Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, vol 471. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35855-5_9
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