Browsing Data Science Institute by Subject "Algorithms"

Now showing items 1-5 of 5

    • Approximate Semantic Matching of Events for the Internet of Things 

      Hasan, Souleiman; Curry, Edward (ACM, 2014-07-01)
      Event processing follows a decoupled model of interaction in space, time, and synchronization. However,another dimension of semantic coupling also exists and poses a challenge to the scalability of event processing systems ...

    • DING! Dataset Ranking using Formal Descriptions 

      Toupikov, Nickolai; Umbrich, Jürgen; Delbru, Renaud; Hausenblas, Michael; Tummarello, Giovanni (2009)
      Considering that thousands if not millions of linked datasets will be published soon, we motivate in this paper the need for an efficient and effective way to rank interlinked datasets based on formal descriptions of their ...

    • 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 ...

    • Simple algorithms for predicate suggestions using similarity and co-occurrence 

      Oren, Eyal; Gerke, Sebastian; Decker, Stefan (Association for Computing Machinery, 2007)
      When creating Semantic Web data, users have to make a critical choice for a vocabulary: only through shared vocabularies can meaning be established. A centralised policy prevents terminology divergence but would restrict ...

    • Thematic Event Processing 

      Hasan, Souleiman; Curry, Edward (ACM, 2014-12-08)
      Event-based systems follow a decoupled mode of interaction between event producers and consumers in space, time, and synchronization to enable scalability within distributed systems. We recognize a fourth dimension of ...