Indexing XML documents using self adaptive genetic algorithms for better retreival

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:
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Year:
2006

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Abstract

The next generation of web is often characterized as the Semantic Web. Machines which are adept in processing data, will also perceive the semantics of the data. The XML technology, with its self describing and extensible tags, is significantly contributing to the semantic web. In this paper, a framework for information retrieval from XML documents using Self Adaptive Migration model Genetic Algorithms(SAGAXsearch) is proposed. Experiments on real data performed to evaluate the precision and the query execution time indicate that the framework is accurate and efficient compared to the existing techniques.