Abstract
XML (eXtensible Markup Language) is fast becoming the de facto standard for information exchange over the Internet. As more and more sensitive information gets stored in the form of XML, sophisticated indexing schemes are required to speedup document storage and retrieval. XML documents can be hierarchically represented by elements. This paper describes a Lattice-map semantic indexing technique to cluster XML documents. To improve performance of information retrieval, documents can be indexed using Lattice-map technique. Similarity and Popularity operations are available in Lattice-map indexing technique and clustering algorithm is used for mining XML documents.
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Natarajan, D.A., Premalatha, K., Kogilavani, A. (2007). Lattice Cube Semantic Index Based Mining on XML Documents. In: Sobh, T. (eds) Innovations and Advanced Techniques in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6268-1_47
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DOI: https://doi.org/10.1007/978-1-4020-6268-1_47
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-6267-4
Online ISBN: 978-1-4020-6268-1
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