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Topic Maps-Driven Semantic Services for National Library of Korea

Presentation, was published by Sam Oh at 2007-12-12

This presentation is an attempt to provide NLK users with timely and comprehensive information using Topic Maps.

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

Sam Oh

No contact information available. 

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Presented at

Asian Topic Maps Summit 2007

Conference at {{start}}

Atoms

Topic Maps is a family of ISO standards for identifying, classifying, and organizing information/knowledge and for improving its findability. …

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Topic Maps helped us not only to overcome the difficulties with information organization, but they also opened us a way for presenting the content in a structured and easy navigable way.

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