Improving Index Structures for Structered Document Retrieval. Meuss, H. & Strohmaier, C. In Proceedings of the 21st BCS-IRSG Colloquium on IR Research, 1999. abstract bibtex 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.
@inproceedings{Meuss/Strohmaier:99,
title = {Improving {Index} {Structures} for {Structered} {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.},
booktitle = {Proceedings of the 21st {BCS}-{IRSG} {Colloquium} on {IR} {Research}},
author = {Meuss, Holger and Strohmaier, Christian},
year = {1999},
}
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