Now showing items 1-5 of 5

  • The ACL RD-TEC: Annotation Guideline (Ver 1.0) 

    QasemiZadeh, Behrang (Insight Centre for Data Analytics, 2014)
    Annotation Guidelines for the ACL RD-TEC (ver 1.0) is set out in this document. The annotator is required to understand the meaning of term, technology term, and invalid term before commencing the annotation task. A de ...
  • Categorising the online communities of stack exchange using quantitative user behaviour features 

    Aumayr, Erik (Insight Centre for Data Analytics, NUI Galway, 2016-03-02)
    Maintaining online communities is vital in order to increase and retain their economic and social value. Before applying any performance altering strategies, it is important to determine the different types of communities, ...
  • Querying over Federated SPARQL Endpoints - A State of the Art Survey 

    Rakhmawati, Nur; Umbrich, Jürgen; Karnstedt, Marcel; Hasnain, Ali; Hausenblas, Michael (2013)
    The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community and amongst practitioners to search data, in the past years. Inspired by ...
  • Using social media for online television adaptation services at RTÉ Ireland 

    Barraza-Urbina, Andrea; Hromic, Hugo; Heitmann, Benjamin; Tamatam, Himasagar; Yañez, Andrea; Hayes, Conor (Insight Centre for Data Analytics, National University of Ireland, Galway, 2016)
    RTÉ (Raidió Teilifís Éireann) is the national provider of Television (TV) and radio in Ireland. RTÉ broadcasts its content online through the RTÉ Player and provides services to interact with its users using social media, ...
  • XploDiv: Diversification Approach for Recommender Systems 

    Barraza-Urbina, Andrea; Heitmann, Benjamin; Hayes, Conor; Ramos, Angela Carrillo (INSIGHT Centre for Data Analytics, National University of Ireland, Galway, 2015)
    Recommender Systems have emerged to guide users in the task of efficiently browsing/exploring a large product space, helping users to quickly identify interesting products. However, suggestions generated with traditional ...