DSpace@Çankaya

SpEnD portal: linked data discovery using SPARQL endpoints

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dc.contributor.author Yumuşak, Semih
dc.contributor.author Aras, Rıza Emre
dc.contributor.author Uysal, Elif
dc.contributor.author Doğdu, Erdoğan
dc.contributor.author Kodaz, Halife
dc.contributor.author Öztoprak, Kasım
dc.date.accessioned 2020-03-20T06:30:14Z
dc.date.available 2020-03-20T06:30:14Z
dc.date.issued 2017
dc.identifier.citation Yumusak, Semih; Aras, Rıza Emre; Uysal, Elif, "SpEnD portal: linked data discovery using SPARQL endpoints", 2017 IEEE International Conference On Big Data (Big Data), pp.200-2202, (2017). tr_TR
dc.identifier.isbn 978-1-5386-2715-0
dc.identifier.issn 2639-1589
dc.identifier.uri http://hdl.handle.net/20.500.12416/2701
dc.description.abstract We 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. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Sparql Endpoints tr_TR
dc.subject Linked Data tr_TR
dc.subject Search Engines tr_TR
dc.title SpEnD portal: linked data discovery using SPARQL endpoints tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 2017 IEEE International Conference On Big Data (Big Data) tr_TR
dc.identifier.startpage 2200 tr_TR
dc.identifier.endpage 2202 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği tr_TR


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