SpEnD Portal: Linked Data Discovery using SPARQL Endpoints
Küçük Resim Yok
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
IEEE International Conference on Big Data (IEEE Big Data) -- DEC 11-14, 2017 -- Boston, MA
Anahtar Kelimeler
Sparql Endpoints, Linked Data, Search Engines
Kaynak
2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
