Vector Query with Signature Filtering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F03%3A00008380" target="_blank" >RIV/61989100:27240/03:00008380 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Vector Query with Signature Filtering
Original language description
In recent years, many approaches to filter documents before query evaluation were adopted for optimising query processing over a text data collection. We investigate a mixture of signatures and vector querying in our approach. We present a number of approaches of filtration before the vector query execution. We use the concept of weight-partitioned signature files and propose an efficient method for signature file traversal by S-trees. We verified experimentally that usage of S-trees leads to the decreased number of signature comparisons. The experiments have been done on real text collections.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F03%2F0912" target="_blank" >GA201/03/0912: XML documents searching and indexing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the BIS2003
ISBN
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ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
University of Colorado
Place of publication
Colorado Springs
Event location
Colorado Springs, USA, us
Event date
Jan 1, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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