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  • × author_ss:"Singh, S."
  1. Singh, S.: Ranganathan and reference services (1992) 0.02
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    Abstract
    Defines reference service and discusses Ranganathan's interpretation of and contribution to reference service under the following headings; development of reference service; 4 categories and holistic view of reference service; analyses of reference work and service; reference service and humanism; flair of the reference librarian; symbiosis of reference service and classification; and relevance of Ranganathan's contribution
    Source
    CLIS observer. 9(1992) nos.1/2, S.16-22
  2. Singh, S.: From reference to information services : a study on impact of Ranganathan (1992) 0.00
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    Abstract
    Presents Ranganathan's ideas on reference service and his division of the process into the following categories: initiation; general help to general modes; ready reference service; and long range reference service. Discusses the mechanism he developed for the analysis of reference service and refers to the stress he laid upon the humanistic side of reference service and its symbiotic relationship with the classification of knowledge. Argues that some of his ideas are still relevant although he was unable to foresee the revolution of reference service by information technology
  3. Singh, S.: S.R. Ranganathan : a review of centenary celebration events and literature (1994) 0.00
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    Abstract
    Review of the events and the literature released at the occasion of the Ranganathan birth centenary celebrations
    Source
    Annals of library science and documentation. 41(1994) no.4, S.142-151
  4. Singh, S.: ¬A practical manual of Colon Classification : ed.7 (1990) 0.00
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    Footnote
    Rez. in: Annals of library science and documentation 41(1994) no.2, S.79 (S.B. Ghosh)
  5. Singh, S.; Dey, L.: ¬A rough-fuzzy document grading system for customized text information retrieval (2005) 0.00
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    Abstract
    Due to the large repository of documents available on the web, users are usually inundated by a large volume of information, most of which is found to be irrelevant. Since user perspectives vary, a client-side text filtering system that learns the user's perspective can reduce the problem of irrelevant retrieval. In this paper, we have provided the design of a customized text information filtering system which learns user preferences and modifies the initial query to fetch better documents. It uses a rough-fuzzy reasoning scheme. The rough-set based reasoning takes care of natural language nuances, like synonym handling, very elegantly. The fuzzy decider provides qualitative grading to the documents for the user's perusal. We have provided the detailed design of the various modules and some results related to the performance analysis of the system.
  6. Adhikari, A.; Dutta, B.; Dutta, A.; Mondal, D.; Singh, S.: ¬An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology (2018) 0.00
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    Abstract
    Finding similarity between concepts based on semantics has become a new trend in many applications (e.g., biomedical informatics, natural language processing). Measuring the Semantic Similarity (SS) with higher accuracy is a challenging task. In this context, the Information Content (IC)-based SS measure has gained popularity over the others. The notion of IC evolves from the science of information theory. Information theory has very high potential to characterize the semantics of concepts. Designing an IC-based SS framework comprises (i) an IC calculator, and (ii) an SS calculator. In this article, we propose a generic intrinsic IC-based SS calculator. We also introduce here a new structural aspect of an ontology called DCS (Disjoint Common Subsumers) that plays a significant role in deciding the similarity between two concepts. We evaluated our proposed similarity calculator with the existing intrinsic IC-based similarity calculators, as well as corpora-dependent similarity calculators using several benchmark data sets. The experimental results show that the proposed similarity calculator produces a high correlation with human evaluation over the existing state-of-the-art IC-based similarity calculators.
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.8, S.1023-1034
  7. Singh, S.: Colon Classification practice (1996) 0.00
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    Abstract
    This book, based on the class room teaching experience, has been divided into thee parts deemed convenient to the student community to wich it is primarily adressed. Part-I ,the most important discusses about the Rules, Facet Formulae, Subject Analysis, etc. To tell the users as to from where the isolates in each Facet are to be obtained. Each rules of CC-6 is explained with suitable examples in order to make it understandable. Another feature of this manual is that "Solved Examples" follow the discussion for evry Main Class included in CC-6. To provided the students with the opportunity for practice, an "Exercise for Practic" has been added in each Chapter. This book includes about one thousand solved examples for practice, answers to which have ben provided at the end. The basic theoritical concept of CC-6 required essentially to understand the rules, have been explained in part-II.It includes such topics as Fundamental Categories, common Isolates Devices, Phase Relation, among othor, and are suitably illustrated. Efforts have been made to clarify the concepts in simple language with a view to understand the Indian scheme, cnsidered one of the scientific classification system in the world.