论文信息 - Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival

Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival

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.

K. G. Srinivasa | K. R. Venugopal | Lalit M. Patnaik | S. Sharath

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