Nested region algebra extended with variables for tag-annotated text search

  • Authors:
  • Katsuya Masuda;Jun'ichi Tsujii

  • Affiliations:
  • University of Tokyo, Tokyo, Japan;University of Tokyo, Tokyo, Japan/ National Centre for Text Mining and Univ. of Manchester, Manchester, UK

  • Venue:
  • Proceedings of the 17th ACM conference on Information and knowledge management
  • Year:
  • 2008

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Abstract

This paper presents a framework for searching text regions with specifying annotated information in tag-annotated text by using Region Algebra. We extend the efficient algorithm for region algebra to handle both nested and crossed regions and introduce variables for attribute values to treat tag-annotations in which attributes indicate another tag regions. Our framework have been implemented in a text search engine for MEDLINE, which is a large textbase of abstracts in medical science. Experiments in tag-annotated MEDLINE abstracts demonstrate the effectiveness of specifying annotations and the efficiency of our framework.