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Iyer, H.; Giguere, M.: Towards designing an expert system to map mathematics classificatory structures (1995)
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- Abstract
- The convertibility of ordering systems such as thesauri and classification schemes have been investigated for many years. The focus has so far been more on thesauri than on classification schemes. Classification schemes too could differ from one another in several ways: in their structural, semantic, lexical and notational features. These incompatibilities make multiple catalog search difficult for the users. The DDC is one of the widely used schemes worldwide that encompasses all of knowledge whereas the Mathematics Subject Classification schem published by the American Mathematical Society is a special classification scheme that is used in several AMS publications, notably the Mathematical Review. An interface that enables mathematicians to access library collections organized with the DDC, using the AMS scheme as an interface will certainly by useful. This paper suggests a prototype expert system interface to map the MSC scheme on to the mathematics (510 schedule of DDC20) and presents the work done so far towards this end. Compares the 2 schemes and discusses the mapping strategies/rules developed and the features of the prototype expert system design
- Source
- Knowledge organization. 22(1995) nos.3/4, S.141-147
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Neelameghan, A.; Iyer, H.: Information organization to assist knowledge discovery : case studies with non-bibliographic databases (2003)
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- Abstract
- Enumerates various paths that may lead to knowledge discovery (KD). Most of these paths begin from knowing what exists. To know what exists about an entity requires comprehensively assembling relevant data and information, in-depth analysis of the information, and identifying relations among the concepts in the related and even apparently unrelated subjects. Provision has to be made to reorganize and synthesize the information retrieved and/or that obtained through observation, experiment, survey, etc. Information and communication technologies (ICT) have considerably augmented the capabilities of information systems. Such ICT applications may range from the simple to sophisticated computerized systems, with data gathered using aerial photography, remote sensing, satellite imagery, large radar and planetary telescopes and many other instrument records of phenomena, as well as downloading via the Internet. While classification helps in data prospecting and data mining, for it to assist the KD process effectively it has to be supplemented with good indexes, hypertext links, access to statistical and modeling techniques, etc. Computer software assists text analysis, complex data manipulation, computation, statistical analysis, concept mapping, etc. But manual information systems can also assist KD. Enumerates several prerequisites to KD and relevant tools and techniques to be incorporated into information support systems. Presents case studies of information systems and services that assisted KD.
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Rorissa, A.; Iyer, H.: Theories of cognition and image categorization : what category labels reveal about basic level theory (2008)
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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.
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Iyer, H.: Classificatory structures : concepts, relations and representations (1994)
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- Abstract
- The book is about knowledge structures as found in information handling tools, classification and indexing systems, as represented in the human mind and in artificial intelligence systems. It looks at the concepts and relationships in these structures
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Iyer, H.; Guadrón, M.: Older adults and eHealth literacy : challenges to knowledge representation (2014)
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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
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Iyer, H.: Facet-structure of subjects : an empirical study of concreteness and predictibility of categories (1982)
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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
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Iyer, H.; Rorissa, A.: Representative images for browsing large image collections : a cognitive perspective
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- Source
- Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO conference, Rome, 23-26 February 2010, ed. Claudio Gnoli, Indeks, Frankfurt M
