Search (6 results, page 1 of 1)

  • × author_ss:"Iyer, H."
  1. Rorissa, A.; Iyer, H.: Theories of cognition and image categorization : what category labels reveal about basic level theory (2008) 0.01
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    Abstract
    Information search and retrieval interactions usually involve information content in the form of document collections, information retrieval systems and interfaces, and the user. To fully understand information search and retrieval interactions between users' cognitive space and the information space, researchers need to turn to cognitive models and theories. In this article, the authors use one of these theories, the basic level theory. Use of the basic level theory to understand human categorization is both appropriate and essential to user-centered design of taxonomies, ontologies, browsing interfaces, and other indexing tools and systems. Analyses of data from two studies involving free sorting by 105 participants of 100 images were conducted. The types of categories formed and category labels were examined. Results of the analyses indicate that image category labels generally belong to superordinate to the basic level, and are generic and interpretive. Implications for research on theories of cognition and categorization, and design of image indexing, retrieval and browsing systems are discussed.
  2. Iyer, H.; Guadrón, M.: Older adults and eHealth literacy : challenges to knowledge representation (2014) 0.01
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  3. Iyer, H.: Semantic interpretation of conjuncts : Boolean transformations (1992) 0.00
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    Abstract
    Reports on an exploratory study of the semantic interpretation of conjuncts and their translation into Boolean search statements, using dictionary definitions. Rules were formulated based on syntactic and semantic analysis of the conjunctive phrases occuring in 160 natural language statements (NLS) of users information needs. This includes a set of transformational rules to accomodate variations in natural language expressions. Evaluation of the rules to accomodate variations in natural language expressions. Evaluation of the rules was performed by matching the output of the algorithm with the search formulation done by an expert online searcher. It resulted in an 81% match rate
  4. Iyer, H.; Giguere, M.: Towards designing an expert system to map mathematics classificatory structures (1995) 0.00
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    Source
    Knowledge organization. 22(1995) nos.3/4, S.141-147
  5. Iyer, H.: Facet-structure of subjects : an empirical study of concreteness and predictibility of categories (1982) 0.00
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    Abstract
    Facet analysis of subjects is found helpful for information storage and retrieval in libraries and information systems. However, such an analysis introduces chances for alternative interpretations of combinations of facets in a subject proposition. This variance in interpretation may be measured in relation to concreteness of the categories. The postulate of PMEST is empirically verified from this point of view. Further, a correlation between concreteness of category and its predictibility is established on the basis of information theory. It is found that PMEST structure of subject-proposition reflects the direct correlation of concreteness and predictibility
  6. Neelameghan, A.; Iyer, H.: Information organization to assist knowledge discovery : case studies with non-bibliographic databases (2003) 0.00
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    Content
    Beitrag eines Themenheftes "Knowledge organization and classification in international information retrieval"