TopX - Efficient and Versatile Top-k Query Processing for Text, Semistructured, and Structured Data

Theobald, Martin and Schenkel, Ralf and Weikum, Gerhard (2007) TopX - Efficient and Versatile Top-k Query Processing for Text, Semistructured, and Structured Data. In: 12. GI-Fachtagung Datenbanksysteme in Business, Technologie und Web (BTW 2007).

Full text not available from this repository.

Abstract

This paper presents a comprehensive overview of the TopX search engine, an extensive framework for unified indexing and querying large collections of unstructured, semistructured, and structured data. Residing at the very synapse of database(DB) engineering and information retrieval (IR), it integrates efficient scheduling algorithms for top-k-style ranked retrieval with powerful scoring models, as well as dynamic and self-throttling query expansion facilities.

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 19:51
Last Modified: 09 Sep 2015 19:51
URI: http://dbis.eprints.uni-ulm.de/id/eprint/1264

Actions (login required)

View Item
View Item