DSpace Repository

A Discovery and Analysis Engine for Semantic Web

Show simple item record

dc.contributor.author Yumuşak, Semih
dc.contributor.author Kamilaris, Andreas
dc.contributor.author Doğdu, Erdoğan
dc.contributor.author Kodaz, Halife
dc.contributor.author Uysal, Elif
dc.contributor.author Aras, Riza Emre
dc.date.accessioned 2022-02-15T11:16:35Z
dc.date.available 2022-02-15T11:16:35Z
dc.date.issued 2018
dc.identifier.citation Yumuşak, Semih...et al (2018). "A Discovery and Analysis Engine for Semantic Web", Companıon Proceedıngs Of The World Wıde Web Conference 2018 , pp. 1497-1505. tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/5012
dc.description.abstract The Semantic Web promotes common data formats and exchange protocols on the web towards better interoperability among systems and machines. Although Semantic Web technologies are being used to semantically annotate data and resources for easier reuse, the ad hoc discovery of these data sources remains an open issue. Popular Semantic Web endpoint repositories such as SPARQLES, Linking Open Data Project (LOD Cloud), and LODStats do not include recently published datasets and are not updated frequently by the publishers. Hence, there is a need for a web-based dynamic search engine that discovers these endpoints and datasets at frequent intervals. To address this need, a novel web meta-crawling method is proposed for discovering Linked Data sources on the Web. We implemented the method in a prototype system named SPARQL Endpoints Discovery (SpEnD). In this paper, we describe the design and implementation of SpEnD, together with an analysis and evaluation of its operation, in comparison to the aforementioned static endpoint repositories in terms of time performance, availability, and size. Findings indicate that SpEnD outperforms existing Linked Data resource discovery methods. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1145/3184558.3191599 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Linked Data tr_TR
dc.subject Semantic Web tr_TR
dc.subject SPARQL Endpoints tr_TR
dc.subject Discovery tr_TR
dc.subject Search Engine tr_TR
dc.title A Discovery and Analysis Engine for Semantic Web tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal Companıon Proceedıngs Of The World Wıde Web Conference 2018 tr_TR
dc.identifier.startpage 1497 tr_TR
dc.identifier.endpage 1505 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


Files in this item

This item appears in the following Collection(s)

Show simple item record