The TopX DB&IR engine

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The TopX DB&IR engine

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International Conference on Management of Data archive
Proceedings of the 2007 ACM SIGMOD international conference on Management of data table of contents

Beijing, China

SESSION: Group 4 table of contents

Pages: 1141 - 1143

Year of Publication: 2007

ISBN:978-1-59593-686-8

Authors

Martin Theobald	Max-Planck-Institut fü Informatik, Saarbrücken, Germany
Ralf Schenkel	Max-Planck-Institut fü Informatik, Saarbrücken, Germany
Gerhard Weikum	Max-Planck-Institut fü Informatik, Saarbrücken, Germany

Sponsors

ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data

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ACM New York, NY, USA

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Sihem Amer-Yahia , Pat Case , Thomas Rölleke , Jayavel Shanmugasundaram , Gerhard Weikum, Report on the DB/IR panel at SIGMOD 2005, ACM SIGMOD Record, v.34 n.4, December 2005 [doi>10.1145/1107499.1107514]
	2	H. Bast et al. IO-Top-k: Index-access optimized top-k query processing. In VLDB, 2006.
	3	Ronald Fagin , Amnon Lotem , Moni Naor, Optimal aggregation algorithms for middleware, Journal of Computer and System Sciences, v.66 n.4, p.614-656, 1 June 2003 [doi>10.1016/S0022-0000(03)00026-6]
	4	D. A. Grossman and O. Frieder. Information Retrieval. Springer, 2005.
	5	T. Grust. Accelerating XPath location steps. In SIGMOD, 2002.
	6	A. Theobald and G. Weikum. The index-based XXL search engine for querying XML data with relevance ranking. In EDBT, 2002.
	7	M. Theobald, R. Schenkel, and G. Weikum. Efficient and self-tuning incremental query expansion for top-k query processing. In SIGIR, 2005.
	8	M. Theobald, R. Schenkel, and G. Weikum. An efficient and versatile query engine for TopX search. In VLDB, 2005.
	9	M. Theobald, R. Schenkel, and G. Weikum. TopX & XXL at INEX 2005. In INEX, LNCS 3977, 2006.
	10	M. Theobald, G. Weikum, and R. Schenkel. Top-k query evaluation with probabilistic guarantees. In VLDB, 2004.