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RISS 인기검색어
- 검색키워드
- 저자 : M. P. Satija (검색결과 4 건)
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Satija, M.P.,Martinez-Avila, Daniel Korea Institute of Science and Technology Informat 2015 Journal of Information Science Theory and Practice Vol.3 No.4
This paper describes qualities of a library classification system that are commonly discussed in the LIS tradition and literature, and explains such a system’s three main functions, namely knowledge mapping, information retrieval, and shelf arrangement. In this vein, the paper states the functional requirements of bibliographic classifications, which broadly are subject collocation and facilitation of browsing the collection. It explains with details the components of a library classification system and their functions. The major components are schedules, notations, and index. It also states their distinguished features, such as generalia class, form divisions, book numbers, and devices for number synthesis which are not required in a knowledge classification. It illustrates with examples from the WebDewey good examples of added features of an online library classification system. It emphasizes that institutional backup and a revision machinery are essential for a classification to survive and remain relevant in the print and e-environment.
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Information, Knowledge, Wisdom
M. P. Satija 건국대학교 지식콘텐츠연구소 2015 International Journal of Knowledge Content Develop Vol.5 No.2
The paper lists problems in defining information and knowledge and also in differentiating between the two. It separately describes physical, economic and cognitive properties of information and knowledge. A long drawn comparative chart of the nature, characteristics and properties of knowledge and information is given. In addition it explains their relation with wisdom. The paper emphasizes that knowledge is only a human preserve. Also it finds common grounds and mutual dependence between information, knowledge and wisdom. The purpose is to clear confusion between knowledge and information, and find their relation with wisdom and tradition by placing these in value added and evolutionary chain: Signals--data-- Information--Knowledge--Wisdom--Tradition.
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Mapping of the Universe of Knowledge in Different Classification Schemes
M. P. Satija,Daniel Martinez-Avila 건국대학교 지식콘텐츠연구소 2017 International Journal of Knowledge Content Develop Vol.7 No.2
Given the variety of approaches to mapping the universe of knowledge that have been presented and discussed in the literature, the purpose of this paper is to systematize their main principles and their applications in the major general modern library classification schemes. We conducted an analysis of the literature on classification and the main classification systems, namely Dewey/Universal Decimal Classification, Cutter’s Expansive Classification, Subject Classification of J.D. Brown, Colon Classification, Library of Congress Classification, Bibliographic Classification, Rider’s International Classification, Bibliothecal Bibliographic Klassification (BBK), and Broad System of Ordering (BSO). We conclude that the arrangement of the main classes can be done following four principles that are not mutually exclusive: ideological principle, social purpose principle, scientific order, and division by discipline. The paper provides examples and analysis of each system. We also conclude that as knowledge is ever-changing, classifications also change and present a different structure of knowledge depending upon the society and time of their design.
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GOMME: A Generic Ontology Modelling Methodology for Epics
Udaya Varadarajan,Mayukh Bagchi,Amit Tiwari,M. P. Satija 한국과학기술정보연구원 2023 Journal of Information Science Theory and Practice Vol.11 No.1
Ontological knowledge modelling of epic texts, though being an established research arena backed by concrete multilingual and multicultural works, still suffers from two key shortcomings. Firstly, all epic ontological models developed till date have been designed following ad-hoc methodologies, most often combining existing general purpose ontology development methodologies. Secondly, none of the ad-hoc methodologies consider the potential reuse of existing epic ontological models for enrichment, if available. This paper presents, as a unified solution to the above shortcomings, the design and development of GOMME - the first dedicated methodology for iterative ontological modelling of epics, potentially extensible to works in different research arenas of digital humanities in general. GOMME is grounded in transdisciplinary foundations of canonical norms for epics, knowledge modelling best practices, application satisfiability norms, and cognitive generative questions. It is also the first methodology (in epic modelling but also in general) to be flexible enough to integrate, in practice, the options of knowledge modelling via reuse or from scratch. The feasibility of GOMME is validated via a first brief implementation of ontological modelling of the Indian epic Mahabharata by reusing an existing ontology. The preliminary results are promising, with the GOMME-produced model being both ontologically thorough and competent performance-wise.
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