A visual exploration workflow as enabler for the exploitation of linked open data

作者: Mathias Van Compernolle , Laurens De Vocht , Peter Mechant , Anastasia Dimou , Jonas Breuer

DOI:

关键词: Linked dataWorkflow management systemData qualityWorkflow engineComputer scienceWorkflowWorkflow technologyMetadataWorld Wide WebOpen data

摘要: Semantically annotating and interlinking Open Data results in Linked which concisely unambiguously describes a knowledge domain. However, the uptake of depends on its usefulness to non-Semantic Web experts. Failing support data consumers understand added-value possible exploitation opportunities could inhibit diffusion. In this paper, we propose an interactive visual workflow for discovering exploring Data. We implemented considering academic library metadata carried out qualitative evaluation. assessed workflow's potential impact bridges offer: published Data; demand as requests for: (i) higher quality data; (ii) more applications that re-use data. More than 70% 34 test users agreed fulfills goal: it facilitates experts

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