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  • × author_ss:"Neelameghan, A."
  • × year_i:[2000 TO 2010}
  1. Neelameghan, A.: Lateral relationships in multicultural, multilingual databases in the spiritual and religious domains : the OM Information service (2001) 0.01 
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    Abstract
    Mapping a multidimensional universe of subjects for linear representation, such as in class number, subject heading, and faset structure is problematic. Into this context is recalled the near-seminal and postulational approach suggested by S. R Ranganathan. The non-hierarchical associative relationship or lateral relationship (LR) is distinguished at different levels-among information sources, databases, records of databases, and among concepts (LR-0). Over thirty lateral relationships at the concept level (LR-0) are identified and enumerated with examples from spiritual and religious texts. Special issues relating to LR-0 in multicultural, multilingual databases intended to be used globally by peoples of different cultures and faith are discussed, using as example the multimedia OM Information Service. Vocabulary assistance for users is described.
  2. Haravu, L.J.; Neelameghan, A.: Text mining and data mining in knowledge organization and discovery : the making of knowledge-based products (2003) 0.01 
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    Abstract
    Discusses the importance of knowledge organization in the context of the information overload caused by the vast quantities of data and information accessible on internal and external networks of an organization. Defines the characteristics of a knowledge-based product. Elaborates on the techniques and applications of text mining in developing knowledge products. Presents two approaches, as case studies, to the making of knowledge products: (1) steps and processes in the planning, designing and development of a composite multilingual multimedia CD product, with the potential international, inter-cultural end users in view, and (2) application of natural language processing software in text mining. Using a text mining software, it is possible to link concept terms from a processed text to a related thesaurus, glossary, schedules of a classification scheme, and facet structured subject representations. Concludes that the products of text mining and data mining could be made more useful if the features of a faceted scheme for subject classification are incorporated into text mining techniques and products.

Themes