SpEnD portal: Linked data discovery using SPARQL endpoints

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. © 2017 IEEE.

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Eser Adı
(dc.title)
SpEnD portal: Linked data discovery using SPARQL endpoints
Yayın Türü
(dc.type)
Konferans Bildirisi
Yazar/lar
(dc.contributor.author)
YUMUŞAK, Semih
Yazar/lar
(dc.contributor.author)
ARAS, Rıza Emre
Yazar/lar
(dc.contributor.author)
UYSAL, Elif
Yazar/lar
(dc.contributor.author)
DOĞDU, Erdoğan
Yazar/lar
(dc.contributor.author)
KODAZ, Halife
Yazar/lar
(dc.contributor.author)
ÖZTOPRAK, Kasım
DOI Numarası
(dc.identifier.doi)
10.1109/BigData.2017.8258169
Atıf Dizini
(dc.source.database)
Scopus
Konu Başlıkları
(dc.subject)
Sparql Endpoints
Konu Başlıkları
(dc.subject)
Search Engines
Konu Başlıkları
(dc.subject)
Linked Data
Yayıncı
(dc.publisher)
Institute of Electrical and Electronics Engineers Inc.
Yayın Tarihi
(dc.date.issued)
2017
Kayıt Giriş Tarihi
(dc.date.accessioned)
2020-08-07T12:54:54Z
Açık Erişim tarihi
(dc.date.available)
2020-08-07T12:54:54Z
Kaynak
(dc.source)
5th IEEE International Conference on Big Data, Big Data 2017
ISSN
(dc.identifier.issn)
9781538627143 (ISBN)
Özet
(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. © 2017 IEEE.
Yayın Dili
(dc.language.iso)
en
Tek Biçim Adres
(dc.identifier.uri)
http://hdl.handle.net/20.500.12498/2948
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