Combining link and content-based information in a Bayesian inference model for entity search

  • Authors:
  • Christos L. Koumenides;Nigel R. Shadbolt

  • Affiliations:
  • University of Southampton, Southampton, UK;University of Southampton, Southampton, UK

  • Venue:
  • Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search
  • Year:
  • 2012

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Abstract

An architectural model of a Bayesian inference network to support entity search in semantic knowledge bases is presented. The model supports the explicit combination of primitive data type and object-level semantics under a single computational framework. A flexible query model is supported capable to reason with the availability of simple semantics in queries.