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    AuthorMuñoz, Emir (4)Aldarra, Suad (1)Dogdu, Erdogan (1)Hogan, Aidan (1)Kodaz, Halife (1)... View MoreSubject
    Data analytics (4)
    Linked data (4)
    #Know@LOD2016 (1)Classification (1)Content pattern (1)... View MoreDate Issued2016 (1)2015 (1)2014 (2)TypeWorkshop paper (3)

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    A linked data-based decision tree classifier to review movies 

    Aldarra, Suad; Muñoz, Emir (CEUR-WS.org, 2015)
    In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as good or bad , as does Metacritic website based on critics ...
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    A hybrid method for rating prediction using linked data features and text reviews 

    Yumusak, Semih; Muñoz, Emir; Minervini, Pasquale; Dogdu, Erdogan; Kodaz, Halife (CEUR-WS.org, 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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    Learning content patterns from linked data 

    Muñoz, Emir (CEUR-WS.org, 2014)
    Linked Data (LD) datasets (e.g., DBpedia, Freebase) are used in many knowledge extraction tasks due to the high variety of domains they cover. Unfortunately, many of these datasets do not provide a description for their ...
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    Using linked data to mine RDF from wikipedia's tables 

    Muñoz, Emir; Hogan, Aidan; Mileo, Alessandra (ACM, 2014)
    The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these tables cannot be queried against. We thus propose methods to recover the semantics of ...
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