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Basu, A.
- NLP Based Automatic Classification System for Analytico Synthetic Scheme
Abstract Views :201 |
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Authors
Affiliations
1 Dept of Library and Information Science, Calcutta University, 87/1 College Street, Kolkata 700 073, West Bengal, IN
2 Documentation Research and Training Centre, Indian Statistical Institute, 8th Mile, Mysore Road, R V College P O, Bangalore 560 059, IN
3 Dept of Library and Information Science, Calcutta University, Kolkata 700073, West Bengal, IN
1 Dept of Library and Information Science, Calcutta University, 87/1 College Street, Kolkata 700 073, West Bengal, IN
2 Documentation Research and Training Centre, Indian Statistical Institute, 8th Mile, Mysore Road, R V College P O, Bangalore 560 059, IN
3 Dept of Library and Information Science, Calcutta University, Kolkata 700073, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 40, No 4 (2003), Pagination: 289-312Abstract
Researchers had made numerous attempts to design powerful automatic classification system, but those could not bring any well-accepted results. The main problem was successful automatic analysis of title of documents and finding out subject propositions. Because being a purely mental process, classification demands human intelligence for analysing the title to find out its basic subject and other facets, if any, along with its category and also synthesising those facets according to principles, postulates and canons to construct classification number. In other words, the document title, which is in natural language, is anlysed carefully to pick up relevant words (i.e. subject propositions) and those arc synthesised using classifiers expertise to build the classification number. Emergence of Artificial Intelligence (A I) could bring the solution to this problem. Use of Natural Language Processing (NLP) techniques would help in automatic analysis of titles and an Expert System be developed to work exactly in the same way as a classifier does to build classification numbers being guided by canons, principles and postulates. This paper is based on the research work in this line of thinking. Semantic and syntactic components of an AI based system for automatic classification is described. The methodology of building lexicon, parser based on Definite Clause Grammar, knowledge-base based on frame based and rule based knowledge representation model is given with a brief discussion Oil those knowledge representation modeL Needs of developing inference engine is also discussed with example. Shows the wayan expressive title is analysed to pick up noun phrases.Keywords
Analytico-Synthetic Classification, Automatic Classification, NLP, Semantics, Syntax-Grammar Rules.- Petrology and Geochemistry of the Lamprophyric Rocks from the Bokaro Coalfield, Bihar and their Economic Potential
Abstract Views :258 |
PDF Views:2
Authors
Affiliations
1 Geological Survey of India, 15 A & B Kyd Street, Calcutta - 700 016, IN
2 Indian School of Mines, Dhanbad - 826 004, IN
1 Geological Survey of India, 15 A & B Kyd Street, Calcutta - 700 016, IN
2 Indian School of Mines, Dhanbad - 826 004, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 50, No 3 (1997), Pagination: 255-266Abstract
The dyke swarms intruding the Gondwana sequence in the east Bokara Coalfield, Bihar include lamprophyres and lamproites such as olivine lamproties, olivine-leucite lamproites and leucite lamproites. Basic intrusives and rare siderite rich carbonates (carbonatite ?) are also found. The olivine lamproites contain xenocrysts of olivine and rare xenoliths of harzburgite. Gold values upto 3.6 ppm on grab samples have been noted from the intrusive rocks in the area. These lampropbyric rocks are considered to have formed from a highly incompatible element enriched metasomatised mantle source probably of harzburgitic composition.Keywords
Petrology, Geochemistry, Lamprophyric Rocks, Gold, Bokaro Coalfield, Bihar.- Further Characterizations for Interval Tournaments
Abstract Views :211 |
PDF Views:0
Authors
Affiliations
1 Department of Mathematics, Ananda Chandra College, Jalpaiguri 735101, IN
2 Department of Mathematics, North Bengal University, Darjeeling 734413, IN
1 Department of Mathematics, Ananda Chandra College, Jalpaiguri 735101, IN
2 Department of Mathematics, North Bengal University, Darjeeling 734413, IN