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          Institute: MPI für Informatik     Collection: Databases and Information Systems Group     Display Documents



ID: 278938.0, MPI für Informatik / Databases and Information Systems Group
Relevance Feedback for Structural Query Expansion
Authors:Schenkel, Ralf; Theobald, Martin
Editors:Fuhr, Norbert; Lalmas, Mounia; Malik, Saadia; Kazai, Gabriella
Language:English
Publisher:.
Place of Publication:.
Date of Publication (YYYY-MM-DD):2005
Title of Proceedings:Preproceedings of the 2005 INEX Workshop
Start Page:260
End Page:273
Place of Conference/Meeting:Dagstuhl Castle, Germany
(Start) Date of Conference/Meeting
 (YYYY-MM-DD):
2005-11-28
Audience:Experts Only
Intended Educational Use:No
Abstract / Description: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.
Last Change of the Resource (YYYY-MM-DD):2006-06-20
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Gerhard Weikum
Affiliations:MPI für Informatik/Databases and Information Systems Group
Identifiers:LOCALID:C1256DBF005F876D-666198937C338BCDC12570C1002E3FC1-...
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