Browsing Data Science Institute by Subject "Data analytics"

Now showing items 21-26 of 26

    • Tell me who are your friends, and I’ll tell you who you are 

      Torres-Tramón, Pablo; Hayes, Conor (AICS 2016, 2016-09-20)
      Mentions of politicians in news articles can reflect politician interactions on their daily activities. In this work, we present a mathematical model to represent such interactions as a graph, and we use it to predict the ...

    • Triplifying Wikipedia's tables 

      Muñoz, Emir; Hogan, Aidan; Mileo, Alessandra (CEUR-WS.org, 2013)
      We are currently investigating methods to triplify the content of Wikipedia's tables. We propose that existing knowledge-bases can be leveraged to semi-automatically extract high-quality facts (in the form of RDF triples) ...

    • A Twitter sentiment gold standard for the Brexit referendum 

      Hürlimann, Manuela; Davis, Brian; Cortis, Keith; Freitas, André; Handschuh, Siegfried; Fernández, Sergio (CEUR Workshop Proceedings, 2016-09-12)
      A Twitter Sentiment Gold Standard for the Brexit Referendum Manuela Hürlimann, Brian Davis Insight Centre for Data Analytics National University of Ireland Galway, Ireland {first.last}@insight-centre.org Keith Cortis, André ...

    • 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 ...

    • Validation of expressive XML keys with XML schema and XQuery 

      Liu, Bo; Link, Sebastian; Muñoz, Emir (ACS, 2015)
      The eXtensible Markup Language (XML) is the defacto industry standard for exchanging data on the Web and elsewhere. While the relational model of data enjoys a well-accepted definition of a key, several competing notions ...

    • µRaptor: A DOM-based system with appetite for hCard elements 

      Muñoz, Emir; Costabello, Luca; Vandenbussche, Pierre-Yves (CEUR-WS.org, 2014)
      This paper describes µRaptor, a DOM-based method to extract hCard microformats from HTML pages stripped of microformat markup. µRaptor extracts DOM sub-trees, converts them into rules, and uses them to extract hCard ...