International Workshop on Challenges in Web Information Retrieval and Integration Automatic Query Refinement Using Mined Semantic Relations Tokyo, Japan April 08-April 09 ISBN: 0-7695-2414-1
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||