SpEnD Portal: Linked Data Discovery using SPARQL Endpoints

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dc.contributor.authorYumusak, Semih
dc.contributor.authorAras, Riza Emre
dc.contributor.authorUysal, Elif
dc.contributor.authorDogdu, Erdogan
dc.contributor.authorKodaz, Halife
dc.contributor.authorOztoprak, Kasim
dc.date.accessioned2020-03-26T19:42:40Z
dc.date.available2020-03-26T19:42:40Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.descriptionIEEE International Conference on Big Data (IEEE Big Data) -- DEC 11-14, 2017 -- Boston, MAen_US
dc.description.abstractWe present the project SpEnD, a complete SPARQL endpoint discovery and analysis portal. In a previous study, the SPARQL endpoint discovery and analysis steps of the SpEnD system were explained in detail. In the SpEnD portal, the SPARQL endpoints are extracted from the web by using web crawling techniques, monitored and analyzed by live querying the endpoints systematically. After many sustainability improvements in the SpEnD project, the SpEnD system is now online as a portal. SpEnD portal currently serves 1487 SPARQL endpoints, out of which 911 endpoints are uniquely found by SpEnD only when compared to the other existing SPARQL endpoint repositories. In this portal, the analytic results and the content information are shared for every SPARQL endpoint. The endpoints stored in the repository are monitored and updated continuously.en_US
dc.description.sponsorshipIEEE, IEEE Comp Soc, ELSEVIER, CISCOen_US
dc.identifier.endpage2202en_US
dc.identifier.isbn978-1-5386-2715-0
dc.identifier.issn2639-1589en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2200en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35488
dc.identifier.wosWOS:000428073702023en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)en_US
dc.relation.ispartofseriesIEEE International Conference on Big Data
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSparql Endpointsen_US
dc.subjectLinked Dataen_US
dc.subjectSearch Enginesen_US
dc.titleSpEnD Portal: Linked Data Discovery using SPARQL Endpointsen_US
dc.typeConference Objecten_US

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