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Abstract

Case records of patients with brain tumours and the related image files (CATSCAN, MRI, X-ray, etc.) are information products generated and used by surgeons. A system has been developed to navigate within case records and link an to related image files. Hypertext links to relevant Web resources an brain tumours are also provided for from the case records. The collaborative and semantic dimensions of the knowledge base development are mentioned. Some 20 fields record administrative data and some 160 fields describe the characteristics of the tumour, its diagnosis, surgery, post-surgical complications, etc. This knowledge base forms part of a total system that includes three other databases of case sheets of patients (with tumours of the pituitary, spinal cord, and trauma), a bibliographic database, profiles of institutions, experts and projects.

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Abstract

The analytico-synthetic facet methodology (ASM) of S.R.Ranganathan (SRR) helps to improve information retrieval online and on the Internet as well. Yahoo has been foreseen in the subject/query structuring based on ASM. Data mining and discovery, the design, development, use and evaluation of object-oriented databases and knowledge organization tools (KOTs) - faceted classification schemes, thesauri, classaurus, and subject indexing languages - are well supported by ASM. The fundamental nature of SRR's contributions attest to their continuing relevance and value in information storage and retrieval in the context of developments in information technology and the Internet. His theories, postulates and normative principles anchored on the Five Laws provide a holistic integrated approach to research, development and practice in knowledge organization in particular and information science in general. These contributions provide a sound foundation and stability to KOTs. SRR had visualized a self-perpetuating classification system. Computer graphics and imaging could help the examination in three or more dimensions the architecture of subject (and the associated Strength of Bond theory) proposed by SRR and the impact of interpolation of new concepts on the structure

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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.