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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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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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Source

Knowledge organization. 22(1995) nos.3/4, S.141-147