Sim-DL: Towards a Semantic Similarity Measurement Theory for the Description Logic \(\mathcal ALCNR\) in Geographic Information Retrieval

  • Krzysztof Janowicz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4278)


Similarity measurement theories play an increasing role in GIScience and especially in information retrieval and integration. Existing feature and geometric models have proven useful in detecting close but not identical concepts and entities. However, until now none of these theories are able to handle the expressivity of description logics for various reasons and therefore are not applicable to the kind of ontologies usually developed for geographic information systems or the upcoming geospatial semantic web. To close the resulting gap between available similarity theories on the one side and existing ontologies on the other, this paper presents ongoing work to develop a context-aware similarity theory for concepts specified in expressive description logics such as \(\mathcal ALCNR\).


Information Retrieval Description Logic Similarity Theory Concept Description Primitive Concept 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Krzysztof Janowicz
    • 1
  1. 1.Institute for GeoinformaticsUniversity of MuensterGermany

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