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Link Discovery with Skos on the Linked Open Data   
Yazarlar (3)
Yasemin Gültepe
Kastamonu Üniversitesi, Türkiye
Abdulkadir Karacı
Kastamonu Üniversitesi, Türkiye
Doç. Dr. Kemal AKYOL Doç. Dr. Kemal AKYOL
Kastamonu Üniversitesi, Türkiye
Devamını Göster
Özet
Nowadays, resources in the web environment contain information in a non-dynamic form, and their availability and shareability is often difficult to efficiently combine by different computer systems. Information on the web can only be interpreted and understood by people. The semantic web, which is considered as the future of the web, provides a common model for reusing and sharing information. Linked Data, which is one of the important components of the semantic web, basically consists of linking the data in different sources in a way that makes semantic conclusions. One of the most important linked data application examples is the LOD (Linked Open Data) Project. This project aims to publish data clusters in RDF (Resource Description Framework) format and semantically associate these data clusters. The process of detecting links between data sets is known as link exploring. Data sets are heterogeneous in terms of dictionaries, formatting, and data representation. This link makes the exploring process much more complex. Determining whether two concepts from different sets of data express the same thing is an example of what is known as the concept resolution problem (ie, the detail information that can be read through). The purpose of this work is to provide data integration between different systems by exploring links between LOD resources such as FOAF (the Friend of a Friend), DBLP (Database Systems and Logic Programming) and SIOC (Semantically Interlinked Online Communities). In this way, special semantic links are defined and the usability of interlinked resources within the web is increased. FOAF defines the persons, the …
Anahtar Kelimeler
Bildiri Türü Tebliğ/Bildiri
Bildiri Alt Türü Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum)
Bildiri Niteliği Alanında Hakemli Uluslararası Kongre/Sempozyum
Bildiri Dili İngilizce
Kongre Adı INTERNATIONAL CONGRESS ON ENGINEERING AND LIFE SCIENCE - 2018
Kongre Tarihi 26-04-2018 / 29-04-2018
Basıldığı Ülke Türkiye
Basıldığı Şehir Kastamonu
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları

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