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An Ontology for Domain-oriented Semantic Similarity Search on XML Data

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45608

Theobald,  Anja
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45720

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

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Zitation

Theobald, A. (2003). An Ontology for Domain-oriented Semantic Similarity Search on XML Data. In Datenbanksysteme für Business, Technologie und Web (BTW): 10. GI-Fachtagung (pp. 217-226). Bonn, Germany: Bonner Köllen.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-2C2C-E
Zusammenfassung
Query languages for XML such as XPath or XQuery support Boolean retrieval where a query result is a (possibly restructured) subset of XML elements or entire documents that satisfy the search conditions of the query. Web search engines, on the other hand, are based on the ranked retrieval paradigm, but do not consider the additional information and rich annotations provided by the structure of XML documents and their element names. Furthermore, web search engines have very lit-tle “semantic” data and are thus unable to cope with ambiguous search terms. Onto-logical knowledge and appropriate index structures are necessary for semantic simi-larity search on XML data extracted from the web. In this paper we present a power-ful ontology index which supports domain-specific semantic similarity search with a new measure for expressing the relevance of query results.