Enabling text search on SPARQL-endpoints through OSCAR

Tracking #: 551-1531

Responsible editor: 

Alejandra Gonzalez-Beltran

Submission Type: 

Article in Special Issue (specify below)


In this paper we introduce the latest version of OSCAR (Version 2.0), the OpenCitations RDF Search Application, which has several improved features and extends the query workflow comparing with the previous version (Version 1.0) we presented at the 4th Workshop entitled Semantics, Analytics, Visualisation: Enhancing Scholarly Dissemination (SAVE-SD 2018), held in conjunction with The Web Conference 2018. OSCAR is a user-friendly search platform that can be used to search any RDF triplestore providing a SPARQL endpoint, while hiding the complexities of SPARQL, making the searching operations operable by those who are not experts in Semantic Web technologies. We present here the basic features and the main extensions of this latest version. In addition, we demonstrate how it can be adapted to work with different SPARQL endpoints containing scholarly data, using as examples the OpenCitations Corpus (OCC) and and the OpenCitations Index of Crossref open DOI-to-DOI citations (COCI) datasets, both provided by OpenCitations, and the Wikidata dataset provided by the Wikimedia Foundation. We conclude by reporting the usage statistics of OSCAR, retrieved from the OpenCitations website logs, so as to demonstrate its usefulness.



  • Under Review

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Date of Submission: 

Wednesday, December 19, 2018