SpEnD portal: Linked data discovery using SPARQL endpoints

YUMUŞAK, Semih | ARAS, Rıza Emre | UYSAL, Elif | DOĞDU, Erdoğan | KODAZ, Halife | ÖZTOPRAK, Kasım

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 ...Daha fazlası

Konferans Bildirisi 2017 Institute of Electrical and Electronics Engineers Inc. 5 Görüntülenme

Erişime Açık

Identifying trolls and determining terror awareness level in social networks using a scalable framework

MUTLU, Büşra | MUTLU, Merve | ÖZTOPRAK, Kasım | DOĞDU, Erdoğan

Trolls in social media are 'malicious' users trying to propagate an opinion or distort the general perceptions. Identifying trolls in social media is a task of interest for many big data applications since data cannot be analyzed effectively without eliminating such users from the crowd. In this paper, we present a solution for troll detection and also the results of measuring terror awareness among social media users. We used Twitter platform only, and applied several machine learning techniques and big data methodologies. For machine learning we used k-Nearest Neighbour (kNN), Naive Bayes, a ...Daha fazlası

Konferans Bildirisi 2016 Institute of Electrical and Electronics Engineers Inc. 2 Görüntülenme

Erişime Açık

Topic Distribution Constant Diameter Overlay Design Algorithm (TD-CD-ODA)

ÖZTOPRAK, Kasım | LAYAZALI, Sina | DOĞDU, Erdoğan

Publish/subscribe communication systems, where nodes subscribe to many different topics of interest, are becoming increasingly more common in application domains such as social networks, Internet of Things, etc. Designing overlay networks that connect the nodes subscribed to each distinct topic is hence a fundamental problem in these systems. For scalability and efficiency, it is important to keep the maximum node degree of the overlay in the publish/subscribe system low. Ideally one would like to be able not only to keep the maximum node degree of the overlay low, but also to ensure that the ...Daha fazlası

Konferans Bildirisi 2017 Institute of Electrical and Electronics Engineers Inc. 3 Görüntülenme

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