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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Kotsakis, E. (2006). XML fuzzy ranking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4027 LNAI, pp. 159–169). Springer Verlag. https://doi.org/10.1007/11766254_14
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