Title: XML Fuzzy Ranking
Authors: KOTSAKIS EVANGELOS
Citation: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE vol. LNAI no. 4027 p. 159-169
Publisher: SPRINGER-VERLAG BERLIN
Publication Year: 2006
JRC Publication N°: JRC33839
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC33839
Type: Contributions to Conferences
Abstract: This paper proposes a method of ranking XML documents with respect to an Information Retrieval query by means of fuzzy logic. The proposed method allows imprecise queries to be evaluated against an XML document collection and it provides a model of ranking XML documents. In addition the proposed method enables sophisticated ranking of documents by employing proximity measures and the concept of editing (Levenshtein) distance between terms or XML paths.
JRC Institute:Institute for the Protection and Security of the Citizen

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