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Conference Paper

The TopX DB&IR engine

MPS-Authors
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Theobald,  Martin
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Schenkel,  Ralf
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Theobald, M., Schenkel, R., & Weikum, G. (2007). The TopX DB&IR engine. In C. Y. Chan, B. C. Ooi, & A. Zhou (Eds.), SIGMOD 2007: Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 1141-1143). New York, NY, USA: ACM.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2108-7
Abstract
This paper proposes a demo of the Top{X} search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and structured data. Top{X} 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.