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Contextualization of a RDF Knowledge Base in the VIKEF Project

  • Heiko Stoermer
  • Ignazio Palmisano
  • Domenico Redavid
  • Luigi Iannone
  • Paolo Bouquet
  • Giovanni Semeraro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4312)

Abstract

Due to the simplicity of RDF data model and semantics, complex application scenarios in which RDF is used to represent the application data model raise important design issues. Modelling e.g. the temporary evolution, relevance, trust and provenance in Knowledge Bases require more than just a set of universally true statements, without any reference to a situation, a point in time, or generally a context. Our proposed solution is to use the notion of context to separate statements that refer to different contextual information, which could so far not explicitly be tied to the statements. In this paper we describe a practical solution to this problem, which has been implemented in the VIKEF project, which deals with making explicit and intelligently useable information contained in vast collections of documents, databases and metadata repositories.

Keywords

Resource Description Framework SPARQL Query Metadata Repository Important Design Issue SPARQL Engine 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Heiko Stoermer
    • 1
  • Ignazio Palmisano
    • 2
  • Domenico Redavid
    • 2
  • Luigi Iannone
    • 3
  • Paolo Bouquet
    • 1
  • Giovanni Semeraro
    • 2
  1. 1.Dept. of Information and Communication Tech.University of TrentoTrentoItaly
  2. 2.Dipartimento di InformaticaUniversità degli Studi di BariBariItaly
  3. 3.Computer Science DepartmentLiverpool UniversityLiverpoolUK

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