Advances in XML Information Retrieval and Evaluation

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4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005, Dagstuhl Castle, Germany, November 28-30,2005. Revised and Selected Papers, Lecture Notes in Computer Science 3977 – Information Systems and Applications, incl. Internet/Web, and HCI

ISBN: 3540349626
ISBN 13: 9783540349624
Herausgeber: Norbert Fuhr/Mounia Lalmas/Saadia Malik et al
Verlag: Springer Verlag GmbH
Umfang: xii, 556 S.
Erscheinungsdatum: 27.06.2006
Auflage: 1/2006
Produktform: Kartoniert
Einband: Kartoniert

Post-proceedings of the 4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005 Presents 41 revised full papers Topics include methodology, multiple retrieval, ad-hoc retrieval, relevance feedback, natural language queries and more

Artikelnummer: 9724602 Kategorie:

Beschreibung

Content-oriented XML retrieval has been receiving increasing interest due to the widespread use of eXtensible Markup Language (XML), which is becoming a standard document format on the Web, in digital libraries,and publishing. By exploiting the enriched source of syntactic and semantic information that XML markup provides, XML information retrieval (IR) systems aim to implement a more focused retrieval strategy and return document components, so-called XML elements - instead of complete documents - in response to a user query. This focused retrieval approach is of particular bene?t for collections containing long documents or documents covering a wide variety of topics (e.g., books, user manuals, legal documents, etc.), where users e?ort to locate relevant content can be reduced by directing them to the most relevant parts of the documents. Implementing this, more focused, retrieval paradigm means that an XML IR system needs not only to ?nd relevant information in the XML documents, but it also has to determine the appropriate level of granularity to be returned to the user. In addition, the relevance of a retrieved component may be dependent on meeting both content and structural query conditions.

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