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Abstract: Information Retrieval and Database Architecture for Conventional Japanese Character Dictionaries

Lothar M. Schmitt, Jens Herder, and Subhash Bhalla. Information Retrieval and Database Architecture for Conventional Japanese Character Dictionaries CT'97 - Second International Cognitive Technology Conference, Aizu, pp. 200-217, IEEE Press, ISBN 0-8186-8084-9, August 1997.

The cycle of abstraction-reconstruction which occurs as a fundamental principle in the development of culture and in cognitive processes is described and analyzed. This approach leads to recognition of boundary conditions for and directions of probable development of cognitive tools. It is shown how the transition from a conventional Japanese-English character dictionary to a multi-dimensional language database is an instance of such an abstraction-reconstruction cycle. The different phases of the design of a multi-dimensional language database based upon different computer software technologies are properly placed in this cycle. The methods used include the use of UNIX software tools, classical database methods as-well-as the use of search engines based upon full text search in this process. Several directions of application and extension for a multi-dimensional language database are discussed from the general point of view of an abstraction-reconstruction cycle.


abstraction-reconstruction cycle, dictionary, UNIX, database, retrieval methods, hypertext, search engine

Copyright 1997 IEEE. Published in the Proceedings of CT'97, August 25-28, 1997 in Aizu, Japan. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE. Contact: Manager, Copyrights and Permissions / IEEE Service Center / 445 Hoes Lane / P.O. Box 1331 / Piscataway, NJ 08855-1331, USA. Telephone: + Intl. 908-562-3966.




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