YARS2: a federated repository for querying graph structured data from the web

  • Authors:
  • Andreas Harth;Jürgen Umbrich;Aidan Hogan;Stefan Decker

  • Affiliations:
  • National University of Ireland, Galway, Digital Enterprise Research Institute;National University of Ireland, Galway, Digital Enterprise Research Institute;National University of Ireland, Galway, Digital Enterprise Research Institute;National University of Ireland, Galway, Digital Enterprise Research Institute

  • Venue:
  • ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
  • Year:
  • 2007

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Abstract

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. In particular, we study distributed indexing methods for graph-structured data and parallel query evaluation methods on a cluster of computers. We evaluate the system on a dataset with 430 million statements collected from the Web, and provide scale-up experiments on 7 billion synthetically generated statements.