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  The TopX DB&IR engine

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.

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 Creators:
Theobald, Martin1, Author           
Schenkel, Ralf1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 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.

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Language(s): eng - English
 Dates: 2008-03-202007
 Publication Status: Issued
 Pages: -
 Publishing info: New York, NY, USA : ACM
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356483
DOI: 10.1145/1247480.1247635
Other: Local-ID: C12573CC004A8E26-A81E720CC34B8146C1257284002CA1BF-TheobaldSW07_SIGMODDemo
 Degree: -

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Title: Untitled Event
Place of Event: Beijing, China
Start-/End Date: 2007-06-11 - 2007-06-14

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Title: SIGMOD 2007 : Proceedings of the ACM SIGMOD International Conference on Management of Data
Source Genre: Proceedings
 Creator(s):
Chan, Chee Yong, Editor
Ooi, Beng Chin, Editor
Zhou, Aoying, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1141 - 1143 Identifier: ISBN: 978-1-59593-687-5