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2014 | OriginalPaper | Buchkapitel

SCS Connector - Quantifying and Visualising Semantic Paths Between Entity Pairs

verfasst von : Bernardo Pereira Nunes, José Herrera, Davide Taibi, Giseli Rabello Lopes, Marco A. Casanova, Stefan Dietze

Erschienen in: The Semantic Web: ESWC 2014 Satellite Events

Verlag: Springer International Publishing

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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 \((e_i,e_j)\) through known links that can reveal meaningful relationships between \((e_i,e_j)\) according to a semantic connectivity score (\(SCS\)).

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Metadaten
Titel
SCS Connector - Quantifying and Visualising Semantic Paths Between Entity Pairs
verfasst von
Bernardo Pereira Nunes
José Herrera
Davide Taibi
Giseli Rabello Lopes
Marco A. Casanova
Stefan Dietze
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-11955-7_67

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