Abstract
Acquisition and semantic annotation of data are fundamental tasks within the domain of cultural heritage. With the increasing amount of available data and ad hoc cross linking between their providers and users (e.g. through web services), data integration and knowledge refinement becomes even more important. To integrate information from several sources it has to be guaranteed that objects of discourse (which may be artifacts, events, persons, places or periods) refer to the same real world phenomena within all involved data sources. Local (database) identifiers however only disambiguate internal data, but fail in establishing connections to/between external data, while global identifiers can only partially solve this problem. Software assistants should support users in establishing such connections by delivering identity assumptions, i.e. by estimating whether examined data actually concerns the same real word phenomenon. This paper points out how similarity measures can act as groundwork for such assistants by introducing a similarity-based identity assumption assistant for historical places to support scholars in establishing links between distributed historical knowledge.
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References
Raubal, M.: Formalizing Conceptual Spaces. In: Varzi, A., Vieu, L. (eds.) Proceedings of the Third International Conference On Formal Ontology in Information Systems (FOIS 2004), pp. 153–164. IOS Press, Amsterdam (2004)
Janowicz, K.: SIM-DL: Towards a Similarity Measurement Theory for Description Logics in GIScience (2006) (under review)
Crofts, N., et al.: Definition of the CIDOC Conceptual Reference Model (version 4.2) (2005)
The Open Archives Initiative Protocol for Metadata Harvesting (Version 2.0), http://www.openarchives.org/OAI/openarchivesprotocol.html
Alexandria Digital Library Gazetteer, http://middleware.alexandria.ucsb.edu
Getty Thesaurus of Geographic Names, http://www.getty.edu/vow/TGNFullDisplay
Goldstone, R., Son, J.: Similarity. In: Holyoak, K., Morrison, R. (eds.) Cambridge Handbook of Thinking and Reasoning, Cambridge University Press, Cambridge (2004)
RodrÃguez, A.M., Egenhofer, M.J.: Comparing Geospatial Entity Classes: An Asymmetric and Context-Dependent Similarity Measure. International Journal of Geographical Information Science 18(3), 229–256 (2004)
Janowicz, K.: Extending Semantic Similarity Measurement with Thematic Roles. In: RodrÃguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds.) GeoS 2005. LNCS, vol. 3799, pp. 137–152. Springer, Heidelberg (2005)
Gärdenfors, P.: Conceptual Spaces - The Geometry of Thought. Bradford Books. MIT Press, Cambridge (2000)
Schwering, A., Raubal, M.: Measuring Semantic Similarity Between Geospatial Conceptual Regions. In: RodrÃguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds.) GeoS 2005. LNCS, vol. 3799, pp. 90–106. Springer, Heidelberg (2005)
Schwering, A.: Hybrid Model for Semantic Similarity Measurement. In: Meersman, R., Tari, Z. (eds.) OTM 2005. LNCS, vol. 3761, pp. 1449–1465. Springer, Heidelberg (2005)
Hau, J., Lee, W., Darlington, J.: A Semantic Similarity Measure for Semantic Web Services. In: Web Service Semantics Workshop 2005 at WWW 2005, Japan (2005)
Maedche, A., Staab, S.: Measuring Similarity between Ontologies. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS, vol. 2473, p. 251. Springer, Heidelberg (2002)
Ehrig, M., et al.: Similarity for Ontologies - A Comprehensive Framework. In: 13th European Conference on Information Systems, Germany (2005)
Borgida, A., Walsh, T.J., Hirsh, H.: Towards Measuring Similarity in Description Logics. In: International Workshop on Description Logics (DL 2005), Scotland (2005)
Rada, R., et al.: Development and Application of a Metric on Semantic Nets. IEEE Transaction on Systems, Man, and Cybernetics 19(1), 17–30 (1989)
Egenhofer, M., Al-Taha, K.: Reasoning About Gradual Changes of Topological Relationships. In: Frank, A., Campari, I., Formentini, U. (eds.) Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, pp. 196–219. Springer, Berlin (1992)
Allen: Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26, 832–843 (1983)
Freksa, C.: Temporal Reasoning Based on Semi-Intervals. Artificial Intelligence 54(1), 199–227 (1992)
WordNet: http://wordnet.princeton.edu/
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Janowicz, K. (2006). Towards a Similarity-Based Identity Assumption Service for Historical Places. In: Raubal, M., Miller, H.J., Frank, A.U., Goodchild, M.F. (eds) Geographic Information Science. GIScience 2006. Lecture Notes in Computer Science, vol 4197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863939_14
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DOI: https://doi.org/10.1007/11863939_14
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