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  Relevance Feedback for Structural Query Expansion

Schenkel, R., & Theobald, M. (2005). Relevance Feedback for Structural Query Expansion. In Preproceedings of the 2005 INEX Workshop (pp. 260-273). Wadern: Schloss Dagstuhl.

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 Creators:
Schenkel, Ralf1, Author           
Theobald, Martin1, Author           
Fuhr, Norbert, Editor
Lalmas, Mounia, Editor
Malik, Saadia, Editor
Kazai, Gabriella, Editor
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: eyword-based queries are an important means to retrieve information from XML collections with unknown or complex schemas. Relevance Feedback integrates relevance information provided by a user to enhance retrieval quality. For keyword-based XML queries, feedback engines usually generate an expanded keyword query from the content of elements marked as relevant or nonrelevant. This approach that is inspired by text-based IR completely ignores the semistructured nature of XML. This paper makes the important step from pure content-based to structural feedback. It presents two independent approaches that include structural dimensions in a feedback-driven query evaluation: The first approach reranks the result list of a keyword-based search engine, using structural features derived from results with known relevance. The second approach expands a keyword query into a full-fledged content-and-structure query with weighted conditions.

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Language(s): eng - English
 Dates: 2006-06-202005
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 278938
Other: Local-ID: C1256DBF005F876D-666198937C338BCDC12570C1002E3FC1-SchenkelT05z
 Degree: -

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Title: Untitled Event
Place of Event: Wadern
Start-/End Date: 2005-11-28

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Title: Preproceedings of the 2005 INEX Workshop
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Wadern : Schloss Dagstuhl
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 260 - 273 Identifier: -