XML search: languages, INEX and scoring

  • Authors:
  • Sihem Amer-Yahia;Mounia Lalmas

  • Affiliations:
  • AT&T Labs Research, Florham Park, NJ;University of London, London

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 2006

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Abstract

The development of approaches to access XML content has generated a wealth of issues in information retrieval (IR) and database (DB) (e.g., [2, 15, 17, 20, 19, 47, 26, 32, 24]). While the IR community has traditionally focused on searching unstructured content, and has developed various techniques for ranking query results and evaluating their effectiveness, the DB community has focused on developing query languages and efficient evaluation algorithms for highly structured content. Recent trends in DB and IR research demonstrate a growing interest in merging IR and DB techniques for accessing XML content. Support for a combination of "structured" and full-text search for effectively querying XML documents was unanimous in a recent panel at SIGMOD 2005 [3], and is being widely studied in the IR community [20].