GaXsearch: an XML information retrieval mechanism using genetic algorithms

Authors:
K. G. Srinivasa;S. Sharath;K. R. Venugopal;Lalit M. Patnaik
Affiliations:
Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India;Infosys Technologies, Bangalore, India;Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India;Microprocessor Applications Laboratory, Indian Institute of Science, India
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

Citing 3
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VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29

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Abstract

The XML technology, with its self-describing and extensible tags, is significantly contributing to the next generation semantic web. The present search techniques used for HTML and text documents are not efficient to retrieve relevant XML documents. In this paper, Genetic Algorithms are presented to learn about the tags, which are useful in indexing. The indices and relationship strength metric are used to extract fast and accurate semantically related elements in the XML documents. The Experiments are conducted on the DataBase systems and Logic Programming (DBLP) XML corpus and are evaluated for precision and recall. The proposed GaXsearch outperforms XSEarch [1] and XRank [2] with respect to accuracy and query execution time.