The Community for Technology Leaders
RSS Icon
Subscribe
Tokyo
April 8, 2005 to April 9, 2005
ISBN: 0-7695-2414-1
pp: 205-213
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
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>
INDEX TERMS
null
CITATION
Jens Graupmann, Jun Cai, Ralf Schenkel, "Automatic Query Refinement Using Mined Semantic Relations", WIRI, 2005, Proceedings. International Workshop on Challenges in Web Information Retrieval and Integration, Proceedings. International Workshop on Challenges in Web Information Retrieval and Integration 2005, pp. 205-213, doi:10.1109/WIRI.2005.12
366 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool