Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

  • Authors:
  • Andre Freitas;Edward Curry;Joao Gabriel Oliveira;Sean O'Riain

  • Affiliations:
  • Digital Enterprise Research Institute;Digital Enterprise Research Institute;Digital Enterprise Research Institute;Digital Enterprise Research Institute

  • Venue:
  • IEEE Internet Computing
  • Year:
  • 2012

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Abstract

The growing number of datasets published on the Web as linked data brings both opportunities for high data availability and challenges inherent to querying data in a semantically heterogeneous and distributed environment. Approaches used for querying siloed databases fail at Web-scale because users don't have an a priori understanding of all the available datasets. This article investigates the main challenges in constructing a query and search solution for linked data and analyzes existing approaches and trends.