Improving Index Structures for Structured Document Retrieval

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.

Conference

Publication date: April 1999

Publication date (Print): April 1999

Pages: 1-14

Affiliations

Center for Information and Language Processing, University of Munich

Germany

Article

DOI: 10.14236/ewic/IRSG1999.10

Copyright statement: © Holger Meuss et al. Published by BCS Learning and Development Ltd. 21st Annual BCS-IRSG Colloquium on IR, Glasgow

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 21st Annual BCS-IRSG Colloquium on IR

Conference acronym: IRSG

Conference number: 21

Conference location: Glasgow

Conference date: 19-20 April 1999

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: IR Research

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/IRSG1999.10

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing