Improving Index Structures for Structured Document Retrieval

by Holger Meuss and Christian M. Stohmaier

Centre for Information and Language Processing (CIS),
University of Munich
Oettingenstr. 67, 80538 Munich, Germany


Abstract

  Structured document retrieval has established itself as a new
  research area in the overlap between Database Systems and
  Information Retrieval. This work proposes a filtering technique,
  that can be added to already existing index structures of many
  structured document retrieval systems. This new technique takes the
  contextual structure information of query and document database into
  account and reduces the occurrence sets returned by the original
  index structure drastically. This improves the performance of query
  evaluation.
  
  A measure is introduced that allows to quantify the added value of
  the proposed index structure. Based on this measure a heuristic is
  presented that allows to include only valuable context information
  in the index structure.