Open AccessA Fusion Approach to XML Structured Document Retrieval
Author(s) -
Ray R. Larson
Publication year - 2005
Publication title -
information retrieval
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.379
H-Index - 58
eISSN - 1573-7659
pISSN - 1386-4564
DOI - 10.1007/s10791-005-0749-0
Subject(s) - computer science , information retrieval , xml validation , document structure description , relevance (law) , xml database , efficient xml interchange , xml framework , xml , data mining , xml schema editor , simple api for xml , xml schema (w3c) , xml encryption , xml signature , world wide web , political science , law
In this paper we evaluate the application of data fusion or meta-search methods, combining different algorithms and XML elements, to content-oriented retrieval of XML structured data. The primary approach is the combination of a probabilistic methods using Logistic regression and the Okapi BM-25 algorithm for estimation of document relevance or XML element relevance, in conjunction with Boolean approaches for some query elements. In the evaluation we use the INEX XML test collection to examine the relative performance of individual algorithms and elements and compare these to the performance of the data fusion approaches.
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