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.
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 |