Extracting Relevant Attribute Values for Improved Search

DOI Bookmark:

http://doi.ieeecomputersociety.org/10.1109/MIC.2007.105

September/October 2007 (vol. 11 no. 5) pp. 26-35

	This Article
	PURCHASE ARTICLE: $19 PDF HTML IEEE Xplore Subscribers
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Sonia Bergamaschi Articles by Claudio Sartori Articles by Francesco Guerra Articles by Mirko Orsini

	ASCII Text	x
	Sonia Bergamaschi, Claudio Sartori, Francesco Guerra, Mirko Orsini, "Extracting Relevant Attribute Values for Improved Search," IEEE Internet Computing, vol. 11, no. 5, pp. 26-35, September/October, 2007.

	BibTex	x
	@article{ 10.1109/MIC.2007.105, author = {Sonia Bergamaschi and Claudio Sartori and Francesco Guerra and Mirko Orsini}, title = {Extracting Relevant Attribute Values for Improved Search}, journal ={IEEE Internet Computing}, volume = {11}, number = {5}, issn = {1089-7801}, year = {2007}, pages = {26-35}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2007.105}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Internet Computing TI - Extracting Relevant Attribute Values for Improved Search IS - 5 SN - 1089-7801 SP26 EP35 EPD - 26-35 A1 - Sonia Bergamaschi, A1 - Claudio Sartori, A1 - Francesco Guerra, A1 - Mirko Orsini, PY - 2007 KW - knowledge and data engineering tools and techniques KW - clustering KW - classification KW - association rules KW - metadata KW - semantic knowledge management VL - 11 JA - IEEE Internet Computing ER -

Sonia Bergamaschi, University of Modena and Reggio Emili

Claudio Sartori, University of Bologna

Francesco Guerra, University of Modena and Reggio Emili

Mirko Orsini, University of Modena and Reggio Emili

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.

Index Terms:

knowledge and data engineering tools and techniques, clustering, classification, association rules, metadata, semantic knowledge management

Citation:

Sonia Bergamaschi, Claudio Sartori, Francesco Guerra, Mirko Orsini, "Extracting Relevant Attribute Values for Improved Search," IEEE Internet Computing, vol. 11, no. 5, pp. 26-35, Sep./Oct. 2007, doi:10.1109/MIC.2007.105

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.