Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data

Schenkel, Ralf and Theobald, Martin (2006) Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data. In: 10th International Conference on Extending Database Technology (EDBT 2006).

Full text not available from this repository.


Relevance Feedback is an important way to enhance retrieval quality by integrating relevance information provided by a user. In XML retrieval, feedback engines usually generate an expanded 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 content-based to structural feedback. It presents an integrated solution for expanding keyword queries with new content, path, and document constraints. An extensible framework evaluates such query conditions with existing keyword-based XML search engines while allowing to easily integrate new dimensions of feedback. Extensive experiments with the established INEX benchmark show the feasibility of our approach.

Item Type: Conference or Workshop Item (Paper)
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Publications
Depositing User: Prof. Dr. Martin Theobald
Date Deposited: 09 Sep 2015 19:53
Last Modified: 09 Sep 2015 19:53

Actions (login required)

View Item
View Item