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Data Semantics Revisited

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Book cover Semantic Web and Databases (SWDB 2004)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3372))

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Abstract

The problem of data semantics is establishing and maintaining the correspondence between a data source and its intended subject matter. We review the long history of the problem in Databases, and contrast it with recent research on the Semantic Web. We then propose two new directions for research on the problem and sketch some open research questions.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Rutgers University, NJ, USA

    Alexander Borgida

  2. Dept. of Computer Science, University of Toronto, Toronto, Canada

    John Mylopoulos

Authors
  1. Alexander Borgida
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  2. John Mylopoulos
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Editor information

Editors and Affiliations

  1. Cisco Systems, Inc., 95134, San Jose, CA, USA

    Christoph Bussler

  2. Department of Computer and Information Science, University of Pennsylvania, 570 Levine Hall, 3330 Walnut St., 19104, Philadelphia, PA, USA

    Val Tannen

  3. School of Informatics, University of Edinburgh, UK

    Irini Fundulaki

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© 2005 Springer-Verlag Berlin Heidelberg

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Borgida, A., Mylopoulos, J. (2005). Data Semantics Revisited. In: Bussler, C., Tannen, V., Fundulaki, I. (eds) Semantic Web and Databases. SWDB 2004. Lecture Notes in Computer Science, vol 3372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31839-2_2

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  • DOI: https://doi.org/10.1007/978-3-540-31839-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24576-6

  • Online ISBN: 978-3-540-31839-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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