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Conference Paper

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

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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). TopX - Efficient and Versatile Top-k Query Processing for Text, Semistructured, and Structured Data. In A. Kemper, H. Schöning, T. Rose, M. Jarke, T. Seidl, C. Quix, et al. (Eds.), Datenbanksysteme in Business, Technologie und Web (BTW): 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (pp. 475-485). Bonn, Germany: Gesellschaft für Informatik.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2115-9
Abstract
This paper presents a comprehensive overview of the Top{X} 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.