SCS Connector - Quantifying and Visualising Semantic Paths Between Entity Pairs.
Lecture Notes in Computer Science(2014)
摘要
A key challenge of the Semantic Web lies in the creation of semantic links between Web resources. The creation of links serves as a mean to semantically enrich Web resources, connecting disparate information sources and facilitating data reuse and sharing. As the amount of data on the Web is ever increasing, automated methods to unveil links between Web resources are required. In this paper, we introduce a tool, called SCS Connector, that assists users to uncover links between entity pairs within and across datasets. SCS Connector provides a Web-based user interface and a RESTful API that enable users to interactively visualise and analyse paths between an entity pair (ei, ej) through known links that can reveal meaningful relationships between (ei, ej) according to a semantic connectivity score (SCS).
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关键词
Semantic connectivity score,Graph visualisation,Semantic associations,Relationship discovery,Semantic UI
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