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SCS Connector - Quantifying and Visualising Semantic Paths Between Entity Pairs

Conference Paper
Publication Date:
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).
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Semantic connectivity score; Graph visualisation; Semantic associations; Relationship discovery; Semantic UI
List of contributors:
Taibi, Davide
Authors of the University:
TAIBI DAVIDE
Handle:
https://iris.cnr.it/handle/20.500.14243/229993
Book title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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URL

http://2014.eswc-conferences.org/sites/default/files/eswc2014pd_submission_95.pdf
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