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).

SCS Connector - Quantifying and Visualising Semantic Paths Between Entity Pairs

Davide Taibi;
2014

Abstract

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).
2014
Istituto per le Tecnologie Didattiche - ITD - Sede Genova
978-3-319-11955-7
Semantic connectivity score
Graph visualisation
Semantic associations
Relationship discovery
Semantic UI
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/229993
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