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Record link: 
http://hdl.handle.net/20.500.12708/55868
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Title: 
A Drag-and-block Approach for Linked Open Data Exploration
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Citation: 
Trinh, T. D., Do, B. L., Wetz, P., Anjomshoaa, A., Kiesling, E., & Tjoa, A. M. (2014). A Drag-and-block Approach for Linked Open Data Exploration. In Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014) (p. 12). CEUR-WS. http://hdl.handle.net/20.500.12708/55868
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Authors: 
Trinh, Tuan Dat 
Do, Ba Lam 
Wetz, Peter 
Anjomshoaa, Amin 
Kiesling, Elmar 
Tjoa, A Min 
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Organisational Unit: 
E194-01 - Forschungsbereich Information und Software Engineering 
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Published in: 
Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014) 
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Date (published): 
2014
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Event name: 
5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014) 
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Event date: 
20-Oct-2014
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Event place: 
Riva del Gardy, Italien, EU
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Number of Pages: 
12
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Publisher: 
CEUR-WS, Vol-1264
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Peer reviewed: 
Yes
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Abstract: 
Since its initial definition in 2007, the concept of Linked Open Data (LOD) has gained strong traction in the scientific community. However, mainstream adoption has been limited and the emergence of an envisioned global linked data space is still in its early stages. One possible explanation is the gap between the large amounts of published LOD datasets and the lack of end-user tools to effectivel...
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Research Areas: 
Business Informatics: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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