Distributed Knowledge Representation on the Social Semantic Desktop: Named Graphs, Views and Roles in NRL

  • Authors:

  • Michael Sintek;Ludger Elst;Simon Scerri;Siegfried Handschuh

  • Affiliations:

  • Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany;DERI, National University of Ireland, Galway,;DERI, National University of Ireland, Galway,

  • Venue:
  • ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
  • Year:
  • 2007

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Abstract

The vision of the Social Semantic Desktopdefines a user's personal information environment as a source and end-point of the Semantic Web: Knowledge workers comprehensively express their information and data with respect to their own conceptualizations. Semantic Web languages and protocols are used to formalize these conceptualizations and for coordinating local and global information access. From the way this vision is being pursued in the NEPOMUK project, we identified several requirements and research questions with respect to knowledge representation. In addition to the general question of the expressivity needed in such a scenario, two main challenges come into focus: i) How can we cope with the heterogeneity of knowledge models and ontologies, esp. multiple knowledge modules with potentially different interpretations? ii) How can we support the tailoring of ontologies towards different needs in various exploiting applications?In this paper, we present NRL, an approach to these two question that is based on named graphs for the modularization aspect and a view concept for the tailoring of ontologies. This view concept turned out to be of additional value, as it also provides a mechanism to impose different semantics on the same syntactical structure.We think that the elements of our approach are not only adequate for the semantic desktop scenario, but are also of importance as building blocks for the general Semantic Web.