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Topic Map Exchange in the Absence of Shared Vocabularies

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Charting the Topic Maps Research and Applications Landscape (TMRA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3873))

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Abstract

Topic Maps are the international industry standard for semantic information integration. Appropriate means for Topic Map exchange are crucial for its success as integration technology. Topic Map exchange bases on the governing Subject Equality decision approach, the decision whether two Subject Proxies indicate identical Subjects. This paper discusses the ‘absence of shared vocabularies’ in the context of these decisions. Thereby, a differentiation between Referential and Structuralist Subject Equality decision approaches is introduced. All existing approaches to Topic Map exchange base on the TMDM. This implies a Referential Subject Equality decision approach and bound to a concrete Subject Map Disclosure (SMD) ontology and Subject Map (SM) vocabulary. This paper introduces a Structuralist Subject Equality decision approach which is called SIM. It allows the exchange of Topic Maps in the absence of a shared SM ontology and SM vocabulary.

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Authors and Affiliations

  1. Department of Computer Science, University of Leipzig, Augustusplatz 10-11, D-04109, Leipzig, Germany

    Lutz Maicher

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  1. Lutz Maicher
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Editors and Affiliations

  1. University of Leipzig, Johannisgasse 26, 04103, Leipzig, Germany

    Lutz Maicher

  2. SRI International, Menlo Park, CA, USA

    Jack Park

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© 2006 Springer-Verlag Berlin Heidelberg

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Maicher, L. (2006). Topic Map Exchange in the Absence of Shared Vocabularies. In: Maicher, L., Park, J. (eds) Charting the Topic Maps Research and Applications Landscape. TMRA 2005. Lecture Notes in Computer Science(), vol 3873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676904_7

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  • DOI: https://doi.org/10.1007/11676904_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32527-7

  • Online ISBN: 978-3-540-32528-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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