Abstract
Similarity measurement is currently being established as a method to explore content on the Semantic Web. Semantically annotated content requires formal concept specifications. Such concepts are dynamic and their semantics can change depending on the current context. The influence of context on similarity measurement is beyond dispute and reflected in recent similarity theories. However, the systematics of this influence has not been investigated so far. Intuitively, the results of similarity measurements should change depending on the impact of the current context. Particularly, such change should converge to 0 with a decreasing impact of the respective contexts. To hold up to this assertion, a quantification of the impact of context on similarity measurements is required. In this paper, we use a combination of the SIM-DL theory, which measures similarity between concepts represented using description logic, and a context model distinguishing between internal and external context to quantify this impact. The behavior of similarity measurements within an ontology specifying geospatial feature types is observed under varying contexts. The results are discussed with respect to the corresponding impact values.
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References
Gärdenfors, P.: How to make the semantic web more semantic. In: Varzi, A.C., Vieu, L. (eds.) Formal Ontology in Information Systems, Proceedings of the Third International Conference (FOIS 2004), pp. 17–34. IOS Press, Amsterdam (2004)
Medin, D., Goldstone, R., Gentner, D.: Respects for similarity. Psychological Review 100(2), 254–278 (1993)
Rodríguez, A., Egenhofer, M.: Comparing geospatial entity classes: an asymmetric and context-dependent similarity measure. International Journal of Geographical Information Science 18(3), 229–256 (2004)
Albertoni, R., Martino, M.D.: Semantic similarity of ontology instances tailored on the application context. In: Meersman, R., Tari, Z. (eds.) On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE. LNCS, vol. 4275, pp. 1020–1038. Springer, Heidelberg (2006)
Janowicz, K.: SIM-DL: Towards a semantic similarity measurement theory for the description logic \(\cal A\!L\!C\!N\!R\) in geographic information retrieval. In: Meersman, R., Tari, Z., Herrero, P. (eds.) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. LNCS, vol. 4278, pp. 1681–1692. Springer, Heidelberg (2006)
Goldstone, R., Son, J.: Similarity. In: Holyoak, K., Morrison, R. (eds.) Cambridge Handbook of Thinking and Reasoning, pp. 13–36. Cambridge University Press, Cambridge (2005)
Donnelly, M., Bittner, T.: Spatial relations between classes of individuals. In: Cohn, A., Mark, D. (eds.) COSIT 2005. LNCS, vol. 3693, pp. 182–199. Springer, Heidelberg (2005)
Goodman, N.: Seven strictures on similarity. In: Goodman, N. (ed.) Problems and projects, pp. 437–447. Bobbs-Merrill, New York (1972)
Keßler, C.: Similarity measurement in context. In: Kokinov, B., Richardson, D., Roth-Berghofer, T., Vieu, L. (eds.) Sixth International and Interdisciplinary Conference on Modeling and Using Context. LNCS (LNAI), vol. 4635, pp. 277–290. Springer, Heidelberg (2007)
Rissland, E.: Ai and similarity. IEEE Intelligent Systems 21(3), 39–49 (2006)
Stroulia, E., Wang, Y.: Structural and semantic matching for assessing web-service similarity. International Journal of Cooperative Information Systems 14, 407–437
Tversky, A.: Features of similarity. Psychological Review 84(4), 327–352 (1977)
Raubal, M.: Formalizing conceptual spaces. In: Varzi, A., Vieu, L. (eds.) Formal Ontology in Information Systems, Proceedings of the Third International Conference (FOIS 2004). Frontiers in Artificial Intelligence and Applications, vol. 114, pp. 153–164. IOS Press, Amsterdam, NL (2004)
Schwering, A., Raubal, M.: Spatial relations for semantic similarity measurement. In: Akoka, J., Liddle, S.W., Song, I.-Y., Bertolotto, M., Comyn-Wattiau, I., van den Heuvel, W.-J., Kolp, M., Trujillo, J., Kop, C., Mayr, H.C. (eds.) Perspectives in Conceptual Modeling. LNCS, vol. 3770, pp. 259–269. Springer, Heidelberg (2005)
Gärdenfors, P.: Conceptual Spaces - The Geometry of Thought. MIT Press, Cambridge (2000)
d’Amato, C., Fanizzi, N., Esposito, F.: A dissimilarity measure for \(\cal A\!L\!C\) concept descriptions. In: Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), Dijon, France, pp. 1695–1699 (2006)
Borgida, A., Walsh, T., Hirsh, H.: Towards measuring similarity in description logics. In: Proceedings of the 2005 International Workshop on Description Logics (DL2005), EUR, Edinburgh, Scotland, UK, vol. 147 (2005)
Janowicz, K.: Similarity-based retrieval for geospatial semantic web services specified using the web service modeling language (wsml-core). In: Scharl, A., Tochtermann, K. (eds.) The Geospatial Web - How Geo-Browsers, Social Software and the Web 2.0 are Shaping the Network Society, pp. 235–246. Springer, London (2007)
Janowicz, K., Keß ler, C., Schwarz, M., Wilkes, M., Panov Espeter, M., Bäumer, B.: Algorithm, implementation and application of the sim-dl similarity server. In: Fonseca, F., Rodríguez-Tatsets, A. (eds.) Second International Conference on GeoSpatial Semantics (GeoS 2007), Mexico City, Mexico, Springer (forthcoming, 2007)
Lutz, M., Klien, E.: Ontology-based retrieval of geographic information. International Journal of Geographical Information Science 20(3), 233–260 (2006)
Bechhofer, S.: The dig description logic interface: Dig/1.1. In: DL2003 Workshop, Rome (2003)
Horrocks, I.: Implementation and optimization techniques. In: Baader, F. (ed.) The description logic handbook: theory, implementation, and applications, pp. 306–346. Cambridge University Press, New York (2003)
Bazire, M., Brézillon, P.: Understanding context before using it. In: Dey, A.K., Kokinov, B., Leake, D.B., Turner, R. (eds.) CONTEXT 2005. LNCS (LNAI), vol. 3554, pp. 29–40. Springer, Heidelberg (2005)
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Keßler, C., Raubal, M., Janowicz, K. (2007). The Effect of Context on Semantic Similarity Measurement. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops. OTM 2007. Lecture Notes in Computer Science, vol 4806. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76890-6_55
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DOI: https://doi.org/10.1007/978-3-540-76890-6_55
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