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Improving Index Structures for Structured Document Retrieval
proceedings-article
Holger Meuss , Christian M. Strohmaier
April 1999
21st Annual BCS-IRSG Colloquium on IR (IRSG)
IR Research
19-20 April 1999
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.
Content
Author and article information
Conference
April
1999
April
1999
: 1-14
Affiliations
Article
10.14236/ewic/IRSG1999.10
783547cb-dc97-482c-8bc2-b4cec3097c60
© Holger Meuss et al. Published by BCS Learning and Development Ltd. 21st Annual BCS-IRSG
Colloquium on IR, Glasgow
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/
21st Annual BCS-IRSG Colloquium on IR
IRSG
21
Glasgow
19-20 April 1999
Electronic Workshops in Computing (eWiC)
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
Electronic Workshops in Computing