Browsing Data Science Institute (Workshop Papers) by Author "Hogan, Aidan"

Now showing items 1-10 of 10

    • The ExpertFinder Corpus 2007 for the Benchmarking and Development of ExpertFinding Systems 

      Hogan, Aidan; Harth, Andreas (2007)
      We provide a benchmark dataset for expert finding within the computer science domain. We show how large isolated data graphs from disparate structured data sources can be combined to form one, large, well-linked RDF graph ...

    • Performing Object Consolidation on the Semantic Web Data Graph 

      Hogan, Aidan; Harth, Andreas; Decker, Stefan (2007)
      An important aspect of Semantic Web technologies is the issue of identity and uniquely identifying resources, which is essential for integrating data across sources. Currently, there is poor agreement on the use of ...

    • Podcast Pinpointer: A Multimedia Semantic Web Application 

      Hogan, Aidan; Harth, Andreas; Breslin, John (IEEE, 2005)
      In late 2004, a new method of publishing multimedia broadcasts on the Internet became popular called `Podcasting¿. Podcasting incorporates existing feed description formats, namely RSS 2.0, to ...

    • ReConRank: A Scalable Ranking Method for Semantic Web Data with Context 

      Hogan, Aidan; Harth, Andreas; Decker, Stefan (2006)
      We present an approach that adapts the well-known PageRank/HITS algorithms to Semantic Web data. Our method combines ranks from the RDF graph with ranks from the context graph, i.e. data sources and their linkage. We present ...

    • Scalable Authoritative OWL Reasoning on a Billion Triples 

      Hogan, Aidan; Harth, Andreas; Polleres, Axel (2008)
      In this paper we present a scalable algorithm for performing a subset of OWL reasoning over web data using a rule-based approach to forward-chaining; in particular, we identify the problem of ontology hijacking: new ...

    • SWSE: Answers Before Links! 

      Harth, Andreas; Hogan, Aidan; Delbru, Renaud; Umbrich, Jürgen; O'Riain, Sean; Decker, Stefan (CEUR-WS.org, 2007)
      We present a system that improves on current document- centric Web search engine technology; adopting an entity-centric perspective, we are able to integrate data from both static and live sources into a coherent, interlinked ...

    • 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) ...

    • 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; ...