READIT - 2009 - Indira Gandhi Centre for Atomic Research

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Proceedings of READIT-2009, Kalpakkam - 603 102, 29-30 Dec 2009 i) Perspectives in Materials Characterization (2009) by G.Amarendra, Baldev Raj and M.H. Manghnani(Eds); and ii) Advances in Materials Characterization (2007). Though the two titles are similar approximately, they cover different topics and each one of the above two books provide many unique concepts covering the techniques of Materials Characterization which need appropriate methods of indexing. [9] WEB SEMANTICS Semantic Web is more a social rather than a technological problem. We need to help the process of adding semantics by: i) by extracting appropriate concepts from the web content; ii) by extracting relevant terms from the link structure; and iii) by identifying relevant and related concepts from the users’ queries [6]. WEB INFORMATION INTERACTION Current web technology comes up short when it comes to supporting the needs of the collaborative and interdisciplinary “e-Science”. The web of links between documents, databases and programs, along with definitions for the concepts/terms can provide a new level of interaction among scientific communities [7]. Facet analysis, hence, can be used to effectively facilitate the information retrieval interaction rather than maximizing the matching process for the identification of “relevant” document which cannot work in the WWW environment in the same way as it might in the test collection environment. REFERENCES 1. Ellis, D. and Vasconcelos, A. Ranganathan and the Net: using facet analysis to search and organize the World Wide Web. Aslib Proceedings, Vol.51, No.1, Jan.1999, pp.3-10. 2. Fox, R. Cataloging our information architecture. OCLC Systems & Services, Vol.21, No.1, 2005, pp.23-29. 3. Berners-Lee, T., Hendler, J. and Lassila, O. The Semantic Web. Scientific American, May 2001. 4. Gilchrist, A. Thesauri, taxonomies and ontologies – an etymological note. Journal of Documentation, Vol.59, No.1, 2003, pp.7-18. 5. Ranganathan, S.R. Subject heading and facet analysis. Journal of Documentation, Vol.20, No.3, Sep.1964, pp.109-119. 6. Baeza-Yates, R. From capturing semantics to semantic search: a virtuous cycle. In: Bechhofer, S. et.al. (Eds): ESWC 2008, LNCS 5021, pp.1-2, Springer-Verlag, 2008. 7. Hendler, J. Science and the Semantic Web. Science, Vol.299, 24 Jan.2003, pp.520-521. 8. Kwasnik,B.H. The role of classification in knowledge representation and discovery. Library Trends, Vol.48, No. 1, pp. 40. 9. Ranjan, R. Book Review for the book “ Perspectives in materials characterization by G. Amarendra, Baldev Raj and M.H. Manghnani (Eds), University Press, 2009”. Current Science, Vol.97, No.10, 25 Nov.2009, pp.1489-1490. 119
Proceedings of READIT-2009, Kalpakkam - 603 102, 29-30 Dec 2009 Session-III: Open Source Solutions and Federated Search 42
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National Conference on Recent Advan
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Foreword The 7th biennial national
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access to information resources. RF
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Organising Committee READIT-2009 Ch
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Invited Presentations: CONTENTS Ses
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C. Jaykumar, E. Soundararajan, V. R
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Session-I: Semantic Web Technologie
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Proceedings of READIT-2009, Kalpakk
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Session-III: Open Source Solutions
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Session-IV: Knowledge Management Pr
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totally around Internet protocols a
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Linux has been under continuous dev
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6.2.2 Software The Softwares requir
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7.1.3 Current Work As the above pro
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Treatment process 7.2.6 Drying Afte
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Before Editing & Cropping After Edi
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Knowledge Management - An Organizat
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5. KNOWLEDGE MANAGEMENT ACTIVITIES
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Management System and is made avail
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Services 3.0 make it easier than ev
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ecover data when a disk fails and r
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Symmetric Multi Processing (SMP) Se
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Knowledge management practice in li
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3. KNOWLEDGE MANAGEMENT: SOME DEFIN
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It is to create a set of effective
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REFERENCES 1. Banka Bihari Chand (2
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2 Fig : 1. Five ‘ C ‘ Model Kn
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4 Knowledge acquisition is the star
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6 group of audience. Similarly wit
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8 Knowledge sharing is enhanced by
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10 sharing, and creating a map of
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12 10. REQUIRED SKILLS AND CAPABILI
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14 Wireless Communication, Networki
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