Representation and Reasoning About Changing Semantics in Heterogeneous Data Sources

  • Hongwei Zhu
  • Stuart E. Madnick
  • Michael D. Siegel
Conference paper

DOI: 10.1007/978-3-540-31839-2_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3372)
Cite this paper as:
Zhu H., Madnick S.E., Siegel M.D. (2005) Representation and Reasoning About Changing Semantics in Heterogeneous Data Sources. In: Bussler C., Tannen V., Fundulaki I. (eds) Semantic Web and Databases. SWDB 2004. Lecture Notes in Computer Science, vol 3372. Springer, Berlin, Heidelberg

Abstract

Changes of semantics in data sources further complicate the semantic heterogeneity problem. We identify four types of semantic heterogeneities related to changing semantics and present a solution based on an extension to the Context Interchange (COIN) framework. Changing semantics is represented as multi-valued contextual attributes in a shared ontology; however, only a single value is valid over a certain time interval. A mediator, implemented in abductive constraint logic programming, processes the semantics by solving temporal constraints for single-valued time intervals and automatically applying conversions to resolve semantic differences over these intervals. We also discuss the scalability of the approach and its applicability to the Semantic Web.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Hongwei Zhu
    • 1
  • Stuart E. Madnick
    • 1
  • Michael D. Siegel
    • 1
  1. 1.MIT Sloan School of ManagementUSA

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