Deploying Linked Open Vocabulary (LOV) to Enhance Library Linked Data
Since the advent of Linked Data (LD) as a method for building webs of data, there have been many attempts to apply and implement LD in various settings. Efforts have been made to convert bibliographic data in libraries into Linked Data, thereby generating Library Linked Data (LLD). However, when mem...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Korea Institute of Science and Technology Information
2015-06-01
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| Series: | Journal of Information Science Theory and Practice |
| Subjects: | |
| Online Access: | http://society.kisti.re.kr/sv/SV_svpsbs03V.do?method=download&cn1=JAKO201519464454256 |
| Summary: | Since the advent of Linked Data (LD) as a method for building webs of data, there have been many attempts to apply and implement LD in various settings. Efforts have been made to convert bibliographic data in libraries into Linked Data, thereby generating Library Linked Data (LLD). However, when memory institutions have tried to link their data with external sources based on principles suggested by Tim Berners-Lee, identifying appropriate vocabularies for use in describing their bibliographic data has proved challenging. The objective of this paper is to discuss the potential role of Linked Open Vocabularies (LOV) in providing better access to various open datasets and facilitating effective linking. The paper will also examine the ways in which memory institutions can utilize LOV to enhance the quality of LLD and LLD-based ontology design. |
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| ISSN: | 2287-9099 2287-4577 |