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      A Hybrid Method for Rating Prediction Using Linked Data Features and Text Reviews 

      YUMUŞAK, Semih; MUÑOZ, Emir; MİNERVİNİ, Pasquale; DOĞDU, Erdoğan; KODAZ, Halife (CEUR-WS, 2016)
      This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as 'good' or 'bad' by mining Linked Data. The original labels are assigned according to aggregated ...
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      SpEnD portal: Linked data discovery using SPARQL endpoints 

      YUMUŞAK, Semih; ARAS, Rıza Emre; UYSAL, Elif; DOĞDU, Erdoğan; KODAZ, Halife; ÖZTOPRAK, Kasım (Institute of Electrical and Electronics Engineers Inc., 2017)
      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, ...