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  The Index-Based XXL Search Engine for Querying XML Data with Relevance Ranking.

Theobald, A., & Weikum, G. (2002). The Index-Based XXL Search Engine for Querying XML Data with Relevance Ranking. In C. S. Jensen, K. G. Jeffery, J. Pokorny, S. Saltenis, E. Bertino, K. Böhm, et al. (Eds.), Proceedings of the 8th International Conference on Extending Database Technology (pp. 477-495). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-30D6-1 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-30D8-E
Genre: Conference Paper

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Theobald-Weikum-EDBT02.pdf (Any fulltext), 265KB
 
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 Creators:
Theobald, Anja1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: Query languages for XML such as XPath or XQuery support Boolean retrieval: a query result is a (possibly restructured) subset of XML elements or entire documents that satisfy the search conditions of the query. This search paradigm works for highly schematic XML data collections such as electronic catalogs. However, for searching information in open environments such as the Web or intranets of large corporations, ranked retrieval is more appropriate: a query result is a rank list of XML elements in descending order of (estimated) relevance. Web search engines, which are based on the ranked retrieval paradigm, do, however, not consider the additional information and rich annotations provided by the structure of XML documents and their element names. This paper presents the XXL search engine that supports relevance ranking on XML data. XXL is particularly geared for path queries with wildcards that can span multiple XML collections and contain both exact-match as well as semantic-similarity search conditions. In addition, ontological information and suitable index structures are used to improve the search efficiency and effectiveness. XXL is fully implemented as a suite of Java servlets. Experiments with a variety of structurally diverse XML data demonstrate the efficiency of the XXL search engine and underline its effectiveness for ranked retrieval.

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Language(s): eng - English
 Dates: 2005-04-252002
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 520362
Other: Local-ID: C1256DBF005F876D-A7851DD7679F5695C1256FC000486B97-TheobaldW02a
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Title: Untitled Event
Place of Event: Prague, Czech Republic
Start-/End Date: 2002-03-25 - 2002-03-27

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Title: Proceedings of the 8th International Conference on Extending Database Technology
Source Genre: Proceedings
 Creator(s):
Jensen, Christian S., Editor
Jeffery, Keith G., Editor
Pokorny, Jaroslav, Editor
Saltenis, Simonas, Editor
Bertino, Elisa, Editor
Böhm, Klemens, Editor
Jarke, Matthias, Editor
Affiliations:
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 477 - 495 Identifier: ISBN: 3-540-43324-4

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 2287 Sequence Number: - Start / End Page: - Identifier: -