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Automatic Query Refinement Using Mined Semantic Relations

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44521

Graupmann,  Jens
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44215

Cai,  Jun
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45380

Schenkel,  Ralf
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Zitation

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.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-25E7-B
Zusammenfassung
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.