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Revista Cubana de Ciencias Informáticas

versión On-line ISSN 2227-1899


MAGDALENO, Damny; FUENTES, Ivett E; CABEZAS, Michel  y  GARCIA, María M. Information retrieval for scientific papers supported in the XML documents clustering. Rev cuba cienc informat [online]. 2016, vol.10, n.2, pp.57-72. ISSN 2227-1899.

Every day more electronic data in semistructured format, specifically XML, are available on the World Wide Web, intranets, and other media. By this, the information management becomes increasingly complex and challenging, especially since document collections are generally heterogeneous, large, diverse and dynamic. Overcoming these challenges is essential to give scientists better conditions to manage the time required to process scientific information. In the Artificial Intelligence Laboratory of Universidad Central “Marta Abreu” de Las Villas, they have obtained several systems that allow to manipulate information such as: SATEX, GARLucene and LucXML, the last one treats specifically to XML documents although it does not guarantee to manage the documents from a repository in the network. In this paper, a Web tool that uses smart recovery techniques, supported by a clustering algorithm of XML documents that combine existing content and structure these are implemented. The main results are: (1) the use of the methodology for the clustering of documents retrieved; (2) the use of specialized tools in information retrieval and document manipulation; (3) to evaluate the system with representing data, favorable results were achieved which confirms the validity of the implementation done.

Palabras clave : Information Retrieval; Clustering; XML.

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