Classification and Cataloguing are always thought to be intellectual processes and as the computers are not intelligent, it is presumed that these tasks are human prerogative, if not a curse. The present work could lead to successfully building an automatic bibliographic data entry system, it will be of immense aid in the library automation activity in India and elsewhere, as building bibliographic databases is a very tedious job. A heuristic based Expert System is developed to identify bibliographic data elements from both the title and back of the title pages of books. Firstly the system scan title page, back of the title page and the content of the document. An expert system applying heuristics would identify bibliographic elements like title, author, publisher, etc through lexicographic and linguistic logic. Those elements again counter checked from verso through CIP data and ISBN. The system is tested using representative documents of various kind and from different subject fields. It is found that the system have been successful in more than 85% documents.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Classification and Cataloguing are always thought to be intellectual processes and as the computers are not intelligent, it is presumed that these tasks are human prerogative, if not a curse. The present work could lead to successfully building an automatic bibliographic data entry system, it will be of immense aid in the library automation activity in India and elsewhere, as building bibliographic databases is a very tedious job. A heuristic based Expert System is developed to identify bibliographic data elements from both the title and back of the title pages of books. Firstly the system scan title page, back of the title page and the content of the document. An expert system applying heuristics would identify bibliographic elements like title, author, publisher, etc through lexicographic and linguistic logic. Those elements again counter checked from verso through CIP data and ISBN. The system is tested using representative documents of various kind and from different subject fields. It is found that the system have been successful in more than 85% documents.
Durga Sankar Rath, Ph. D. is a Reader, Dept. of Library and Information Science Vidyasagar University, West Bengal, India.Earlier he was associated with Rabindra Bharati University, Kolkata. Prof. A R D Prasad, Head, DRTC, India is famous internationally for ICT application in LIS activities.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : moluna, Greven, Allemagne
Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rath Durga SankarDurga Sankar Rath, Ph. D. is a Reader, Dept. of Library and Information Science Vidyasagar University, West Bengal, India.Earlier he was associated with Rabindra Bharati University, Kolkata. Prof. A R D Prasad, H. N° de réf. du vendeur 4979293
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Taschenbuch. Etat : Neu. Expert System for Automatic Cataloguing | A Heuristic based approach | Durga Sankar Rath (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639342468 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107022909
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Classification and Cataloguing are always thought to be intellectual processes and as the computers are not intelligent, it is presumed that these tasks are human prerogative, if not a curse. The present work could lead to successfully building an automatic bibliographic data entry system, it will be of immense aid in the library automation activity in India and elsewhere, as building bibliographic databases is a very tedious job. A heuristic based Expert System is developed to identify bibliographic data elements from both the title and back of the title pages of books. Firstly the system scan title page, back of the title page and the content of the document. An expert system applying heuristics would identify bibliographic elements like title, author, publisher, etc through lexicographic and linguistic logic. Those elements again counter checked from verso through CIP data and ISBN. The system is tested using representative documents of various kind and from different subject fields. It is found that the system have been successful in more than 85% documents. N° de réf. du vendeur 9783639342468
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