Paper Info
Title
Creation and Maintenance of Query Expansion Rules
Abstract
In an Information retrieval system, a thesaurus can be used for query expansion, i.e. adding words to queries in order to improve recall. We propose a semi-automatic and interactive approach for the creation and maintenance of domain-specific thesauri for query expansion. Domain-specific thesauri are especially required in highly technical domains where the use of general thesauri for query expansion introduces more noise than useful results. Our semi-automatic approach to thesaurus creation constitutes a good compromise between fully manual approaches, which produce high-quality thesauri but at a prohibitively high cost, and fully automatic approaches, which are cheap but produce thesauri of limited quality. This article describes our approach and the architecture of the system implementing it, named Cannelle. It exploits user query logs and natural language processing to identify valuable synonymy candidates, and allows editors to interactively explore and validate these candidates in the context of a domain-specific searchable knowledge base. We evaluated the system in the domain of online troubleshooting, where the proposed method yielded all improvement in the quality of the search results obtained.
Year
DOI
Venue
2009
10.1007/978-3-642-01347-8_68
Lecture Notes in Business Information Processing
Keywords
Field
DocType
Information retrieval,Query expansion,Domain-specific thesaurus,Knowledge base management
Query optimization,Web search query,RDF query language,Query language,Query expansion,Information retrieval,Computer science,Sargable,Web query classification,Query by Example,Natural language processing,Artificial intelligence
Conference
Volume
ISSN
Citations 
24
1865-1348
1
PageRank 
References 
Authors
0.35
11
5
Name
Order
Citations
PageRank
Stefania Castellani19513.92
Aaron Kaplan2111.76
FréDéRic Roulland341.78
Jutta Willamowski45212.58
Maria Antonietta Grasso525640.20