The SphereSearch engine for unified ranked retrieval of heterogeneous XML and web documents
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Ontology-based automatic query refinement
International Journal of Artificial Intelligence and Soft Computing
A semantic search system using query definitions
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
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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.