Domain-specific entity and relationship extraction from query logs

  • Authors:
  • Parikshit Sondhi;Raman Chandrasekar

  • Affiliations:
  • University of Illinois at Urbana Champaign, Urbana, IL;Microsoft Research, One Microsoft Way, Redmond, WA

  • Venue:
  • Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
  • Year:
  • 2010

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Abstract

Extracting domain-specific entity-relationships is useful in a wide variety of applications. For example, knowledge of camera companies and their product hierarchies can help photography-related search engines greatly in improving search interfaces. In this paper we describe an unsupervised approach for extracting prominent domain specific entity-relationships from query logs. Our approach is complementary to other entity extraction methods. It first constructs a weighted directed graph with query keywords as nodes and then prunes out edges not likely to represent useful relations. Experiments with multiple domains show promising results with over 80% precision.