Abstract
Internet-based e-commerce provides a high level of flexibility and openness though presenting many drawbacks due to the heterogeneity of the exchanged information. Ontologies are a key technology to solve many of the problems of e-commerce, in fact many companies use ontologies as a method of exchanging meaning between different agents. As ontology usage becomes more prevalent, the need for ontology reconciliation increases. In fact, ontology mapping methods can contribute to solve the problem of knowledge communication and interchange.
In this paper we present an automatic method for ontology mapping. The method is made up of two phases: a lexical-semantic analysis based on the WordNet thesaurus and a structural analysis based on a matching algorithm that finds semantic mappings between two ontologies expressed in Attributive Language with Number description (\(\mathcal{ALN}\)) Description logic. The mapped ontologies describe the same conceptualization through a set of rules that join related concepts. We deployed the proposed approach in a prototype system that currently is employed for large scale experiments. A simple experiment with a case study domain has shown a good correspondence with human mapping manually conducted and the system provided results.
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Baader, F., Horrocks, I., Sattler, U.: Description logics. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies in Information Systems, pp. 385–405. Springer, Heidelberg (2003)
Brachman, R.J., et al.: Living with CLASSIC: When and How to Use a KL-ONE-Like Language. In: Sowa, J. (ed.) Principles of Semantic Networks: Explorations in the Representation of Knowledge, pp. 401–456. MK (1991)
Leacock, C., Chodorow, M.: Combining local context and wordnet similarity for word sense identification. In: Fellbaum (ed.) WordNet an electronic lexical database, pp. 265–283. MIT Press, London (1998)
Chalupsky, H.: Ontomorph: a translation system for symbolic knowledge. In: Principles of knowledge representation and reasoning (2000)
Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Ontology matching: A machine learning approach. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies in Information Systems, pp. 385–405. Springer, Heidelberg (2003)
Donini, F.M., Lenzerini, M., Nardi, D., Schaerf, A.: Reasoning in Description Logics. In: Brewka, G. (ed.) Principles of Knowledge Representation, Studies in Logic, Language and Information, pp. 193–238. CSLI Publications, Stanford (1996)
Fellbaum, C. (ed.): Wordnet: an electronic lexical database. MIT Press, Cambridge (1999)
Giunchiglia, F., Shvaiko, P.: Semantic matching. Knowledge Engineering Review Journal 18(3), 265–280 (2004)
Ichise, R., Takeda, H., Honiden, S.: Rule induction for concept hierarchy alignement. In: Proc. of workshop on ontology learning at IJCAI 2001 (2001)
Kalfoglou, Y., Schorlemmer, M.: Ontology mapping: the state of the art. The knowledge engineering review 18(1), 1–31 (2003)
Lacher, M., Groh, G.: Facilitating the exchange of explicit knowledge through ontology mappings. In: Proc. of FLAIRS 2001 (2001)
Madhavan, J., Bernstein, P.A., Rahm, E.: Generic schema matching with cupid. In: Proceedings of the 27th VLDB Conference, Roma, Italy (2001)
McGuinnes, D., Fikes, R., Rice, J., Wilder, S.: The chimaera ontology environment. In: Proc. of AAAI 2000 (2000)
Miller, G.A., Beckwith, R., Fellbaum, C., Gross, D., Miller, K.: Introduction to wordnet: an on-line lexical database. Journal of Lexicography 3(4), 235–244 (1990)
Mitra, P., Wiederhold, G., Jannink, J.: Semi-automatic integration of knowledge sources. In: Proc. of Fusion 1999, Sunnyvale, USA (1999)
Di Noia, T., Di Sciascio, E., Donini, F.M., Mongiello, M.: A system for principled Matchmaking in an electronic marketplace. In: Proc. of WWW 2003, pp. 321–330 (2003)
Noy, N.: Semantic integration: a survey of ontology-based approaches. Sigmod record 33(4) (2004)
Noy, N., Musen, M.: Prompt: an algorithm and tool for automated ontology merging and alignment. In: Proc. of AAAI 2000 (2000)
Noy, N., Musen, M.: Anchor-prompt: using non-local context for semantic matching. In: Proc. of workshop on ontologies and information sharing at IJCAI 2001 (2001)
Wiesman, F., Roos, N., Vogt, P.: Automatic ontology mapping for agent communication. In: Schreiber, G., van Someren, M., Krose, B., de Rijke, M. (eds.) Proc. of BNAIC2001, pp. 291–298. Universiteit van Amsterdam, Amsterdam (2001)
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Mongiello, M., Totaro, R. (2005). Automatic Ontology Mapping for Agent Communication in an e-Commerce Environment. In: Bauknecht, K., Pröll, B., Werthner, H. (eds) E-Commerce and Web Technologies. EC-Web 2005. Lecture Notes in Computer Science, vol 3590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11545163_3
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DOI: https://doi.org/10.1007/11545163_3
Publisher Name: Springer, Berlin, Heidelberg
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