The TopX DB&IR engine

Authors:
Martin Theobald;Ralf Schenkel;Gerhard Weikum
Affiliations:
Max-Planck-Institut fü Informatik, Saarbrücken, Germany;Max-Planck-Institut fü Informatik, Saarbrücken, Germany;Max-Planck-Institut fü Informatik, Saarbrücken, Germany
Venue:
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Year:
2007

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Abstract

This paper proposes a demo of the TopX search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and structured data. TopX integrates efficient algorithms for top-k-style ranked retrieval with powerful scoring models for text and XML documents, as well as dynamic and self-tuning query expansion based on background ontologies.