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  Automatic Query Refinement Using Mined Semantic Relations

Graupmann, J., Cai, J., & Schenkel, R. (2005). Automatic Query Refinement Using Mined Semantic Relations. In International Workshop on Challenges in Web Information Retrieval and Integration (WIRI) (pp. 205-213). Los Alamitos, USA: IEEE.

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GraupmannCS05.pdf (Any fulltext), 162KB
 
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 Creators:
Graupmann, Jens1, Author           
Cai, Jun1, Author           
Schenkel, Ralf1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: With the Web of today being unstructured and semantically heterogeneous, keyword-based queries are likely to miss important results. Therefore, {\em refining} and {\em expanding} queries plays an important role today. This paper presents a novel approach for query expansion that applies dependency rules mined from a large Web crawl, combining several existing techniques for data extraction and mining. Additionally, the rules help binding keyword queries to the input fields of forms on Web portals, opening up the tremendous resources of the Hidden Web. Preliminary, yet convincing experiments from a restricted application domain indicate the viability of our approach.

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Language(s): eng - English
 Dates: 2006-04-282005
 Publication Status: Issued
 Pages: -
 Publishing info: Los Alamitos, USA : IEEE
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 278921
Other: Local-ID: C1256DBF005F876D-A09E995F42053B66C1256F870031A5F0-GraupmannCS05
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Title: Untitled Event
Place of Event: Tokyo, Japan
Start-/End Date: 2005-04-08

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Title: International Workshop on Challenges in Web Information Retrieval and Integration (WIRI)
Source Genre: Proceedings
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Publ. Info: Los Alamitos, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 205 - 213 Identifier: ISBN: 0-7695-2414-1