Browsing Research Institutes and Centres by Author "Hogan, Aidan"

Now showing items 21-26 of 26

    • SWSE: Objects before documents! 

      Harth, Andreas; Hogan, Aidan; Umbrich, Jürgen; Decker, Stefan (2008)
      Web search engines are immensely useful for locating documents online. However, with more and more structured data being published online, the restriction to the hyperdocument model impairs the usefulness for searching and ...

    • Towards Dataset Dynamics: Change Frequency of Linked Open Data Sources 

      Umbrich, Jürgen; Hausenblas, Michael; Hogan, Aidan; Polleres, Axel; Decker, Stefan (CEUR, 2010)
      Datasets in the LOD cloud are far from being static in their nature and how they are exposed. As resources are added and new links are set, applications consuming the data should be able to deal with these changes. In ...

    • 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) ...

    • 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 ...

    • Weaving the Pedantic Web 

      Hogan, Aidan; Harth, Andreas; Passant, Alexandre; Decker, Stefan; Polleres, Axel (CEUR, 2010)
      Over a decade after RDF has been published as a W3C recommendation, publishing open and machine-readable content on the Web has recently received a lot more attention, including from corporate and governmental bodies; ...

    • YARS2: A Federated Repository for Querying Graph Structured Data from the Web 

      Harth, Andreas; Umbrich, Jürgen; Hogan, Aidan; Decker, Stefan (2007)
      We present the architecture of an end-to-end semantic search engine that uses a graph data model to enable interactive query answering over structured and interlinked data collected from many disparate sources on the Web. ...