Relevance Feedback for Structural Query Expansion

Schenkel, Ralf and Theobald, Martin (2006) Relevance Feedback for Structural Query Expansion. In: 4th International Workshop of the Initiative for the Evaluation of XML Retrieval.

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Keyword-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.

Item Type:Conference or Workshop Item (Paper)
Subjects:DBIS Research > Publications
ID Code:1267
Deposited By: Prof. Dr. Martin Theobald
BibTex Export:BibTeX
Deposited On:09 Sep 2015 20:05
Last Modified:09 Sep 2015 20:05

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