Automatic Query Refinement Using Mined Semantic Relations

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International Workshop on Challenges in Web Information Retrieval and Integration

Tokyo, Japan

April 08-April 09

ISBN: 0-7695-2414-1

	ASCII Text	x
	Jens Graupmann, Jun Cai, Ralf Schenkel, "Automatic Query Refinement Using Mined Semantic Relations," Challenges in Web Information Retrieval and Integration, International Workshop on, pp. 205-213, International Workshop on Challenges in Web Information Retrieval and Integration, 2005.

	BibTex	x
	@article{ 10.1109/WIRI.2005.12, author = {Jens Graupmann and Jun Cai and Ralf Schenkel}, title = {Automatic Query Refinement Using Mined Semantic Relations}, journal ={Challenges in Web Information Retrieval and Integration, International Workshop on}, volume = {0}, year = {2005}, isbn = {0-7695-2414-1}, pages = {205-213}, doi = {http://doi.ieeecomputersociety.org/10.1109/WIRI.2005.12}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Challenges in Web Information Retrieval and Integration, International Workshop on TI - Automatic Query Refinement Using Mined Semantic Relations SN - 0-7695-2414-1 SP205 EP213 A1 - Jens Graupmann, A1 - Jun Cai, A1 - Ralf Schenkel, PY - 2005 KW - null VL - 0 JA - Challenges in Web Information Retrieval and Integration, International Workshop on ER -

Jens Graupmann, Max-Planck Institut fur Informatik, 66123 Saarbrucken, Germany

Jun Cai, Max-Planck Institut fur Informatik, 66123 Saarbrucken, Germany

Ralf Schenkel, Max-Planck Institut fur Informatik, 66123 Saarbrucken, Germany

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WIRI.2005.12

With the Web of today being unstructured and semantically heterogeneous, keyword-based queries are likely to miss important results. Therefore, refining and 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 HiddenWeb. Preliminary, yet convincing experiments from a restricted application domain indicate the viability of our approach.

Citation:

Jens Graupmann, Jun Cai, Ralf Schenkel, "Automatic Query Refinement Using Mined Semantic Relations," wiri, pp.205-213, International Workshop on Challenges in Web Information Retrieval and Integration, 2005

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