DocumentCode
1129110
Title
Extracting Relevant Attribute Values for Improved Search
Author
Bergamaschi, Sonia ; Sartori, Claudio ; Guerra, Francesco ; Orsini, Mirko
Author_Institution
Modena Univ., Modena
Volume
11
Issue
5
fYear
2007
Firstpage
26
Lastpage
35
Abstract
A new kind of metadata offers a synthesized view of an attribute\´s values for a user to exploit when creating or refining a search query in data-integration systems. The extraction technique that obtains these values is automatic and independent of an attribute domain but parameterized with various metrics for similarity measures. The authors describe a fully implemented prototype and some experimental results to show the effectiveness of "relevant values" when searching a knowledge base.
Keywords
data mining; knowledge based systems; query formulation; attribute domain; data integration system; knowledge base searching; metadata; relevant attribute values extraction; search query; similarity measure; Data mining; Databases; Europe; Knowledge management; Manufacturing industries; Ontologies; Prototypes; Semantic Web; Terminology; Vocabulary; association rules; classification; clustering; knowledge and data engineering tools and techniques; metadata; semantic knowledge management;
fLanguage
English
Journal_Title
Internet Computing, IEEE
Publisher
ieee
ISSN
1089-7801
Type
jour
DOI
10.1109/MIC.2007.105
Filename
4305566
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