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International Workshop on Challenges in Web Information Retrieval and Integration (2005)
Tokyo, Japan
Apr. 8, 2005 to Apr. 9, 2005
ISBN: 0-7695-2414-1
pp: 205-213
Ralf Schenkel , Max-Planck Institut fur Informatik, 66123 Saarbrucken, Germany
Jens Graupmann , Max-Planck Institut fur Informatik, 66123 Saarbrucken, Germany
Jun Cai , Max-Planck Institut fur Informatik, 66123 Saarbrucken, Germany
ABSTRACT
<p>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.</p>
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CITATION
Ralf Schenkel, Jens Graupmann, Jun Cai, "Automatic Query Refinement Using Mined Semantic Relations", International Workshop on Challenges in Web Information Retrieval and Integration, vol. 00, no. , pp. 205-213, 2005, doi:10.1109/WIRI.2005.12
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