Abstract
If we view ontology-matching and analogical-mapping as different perspectives on the same structural processes, then it follows that matching can sensibly be applied both between ontologies, to ensure inter-operability, and within ontologies, to increase internal symmetry. When applied within a single ontology, matching should allow us to identify pockets of structure that possess higher-order similarity that is not explicitly rejected in the ontology’s existing category structure. This paper explores how cliques of analogies (or analogical cliques) can be used to support the creation of a new layer of structure in an ontology, to better reject human intuitions about the pragmatic similarity of different categories and entities.
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References
Gruber, T.: A translation approach to portable ontologies. Knowledge Acquisition 5(2), 199–220 (1993)
Formal Ontology and Information Systems. In: Guarino, N. (ed.) Proceedings of FOIS 1998, Trento, Italy, June 6-8, IOS Press, Amsterdam (1998)
Euzenat, J., Shvaiko, P.: Ontology Matching. Springer, Heidelberg (2007)
De Leenheer, P., de Moor, A.: Context-driven Disambiguation in Ontology Elicitation. In: Shvaiko, P., Euzenat, J. (eds.) Context and Ontologies: Theory, Practice and Applications, AAAI Technical Report WS-05-01:17–24. AAAI Press, Menlo Park (2005)
Falkenhainer, B., Forbus, K., Gentner, D.: The Structure-Mapping Engine: Algorithm and Examples. Artificial Intelligence 41, 1–63 (1989)
Veale, T., Li, G., Hao, Y.: Growing Finely- Discriminating Taxonomies from Seeds of Varying Quality and Size. In: EACL 2009, Athens (2009)
Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. The MIT Press, Cambridge (1998)
Dong, Z., Dong, Q.: HowNet and the Computation of Meaning. World Scientific, Singapore (2006)
Budanitsky, A., Hirst, G.: Evaluating WordNet based Measures of Lexical Semantic Relatedness. Computational Linguistics 32(1), 13–47 (2006)
Hearst, M.: Automatic acquisition of hyponyms from large text corpora. In: 14th International Conference on Computational Linguistics, pp. 539–545 (1992)
Widdows, D., Dorow, B.: A graph model for unsupervised lexical acquisition. In: 19th Int. Conference on Computational Linguistics (2002)
Brants, T., Franz, A.: Web 1t 5-gram version 1. In: Linguistic Data Consortium, Philadelphia (2006)
Bron, C., Kerbosch, J.: Algorithm 457: Finding all cliques of an undirected graph. Communications of the ACMÂ 16(9) (1973)
Croitoru, M., Hu, B., Srinandan, D., Lewis, P., Dupplaw, D., Xiao, L.: A Conceptual Graph-based Approach to Ontology Similarity Measure. In: 15th International Conference On Conceptual Structures, ICCS 2007, Sheffield, UK (2007)
Barsalou, L.W.: Ad hoc categories. Memory and Cognition 11, 211–227 (1983)
Almuhareb, A., Poesio, M.: Attribute-based and Value-based Clustering: An Evaluation. In: EMNLP, Barcelona (July 2004)
Cruse, D.A.: Lexical Semantics. Cambridge University Press, Cambridge (1986)
Kilgarriff, A.: I don’t believe in word senses. Computers and the Humanities 31(2), 91–113 (1997)
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Li, G., Veale, T. (2011). Analogical Cliques in Ontology Construction. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowlege Engineering and Knowledge Management. IC3K 2009. Communications in Computer and Information Science, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19032-2_15
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DOI: https://doi.org/10.1007/978-3-642-19032-2_15
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