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Topic Maps-Driven Semantic Services for National Library of Korea
Presentation, was published by Sam Oh at 2007-12-12
External Links: download slides and more information
This presentation is an attempt to provide NLK users with timely and comprehensive information using Topic Maps. The focus of this project was on converting Korean MARC data into FRBR, then further transforming FRBR data using Topic Maps. MARC has flat structure, which has severe limitation in terms of collocating related information so applying Topic Maps to solve this problem deemed feasible. A prototype system was developed to demonstrate how TM-enabled MARC data can offer enhanced semantic services to NLK users.
Authors
Presented at
Asian Topic Maps Summit 2007
Conference at {{start}}
Topic Maps is a family of ISO standards for identifying, classifying, and organizing information/knowledge and for improving its findability. …
Visit homepage of Asian Topic Maps ...
The idea of Topic Maps is essential to enable dynamic information logistic. This requires a system that understands the context of the user to provide relevant informations and options automatically. Therefore semantic analysis is needed organizing content in a dynamic net structure.
