Querying heterogeneous datasets on the linked data web: Challenges, approaches, and trends

Andre Freitas, Edward Curry, Joao Gabriel Oliveira, Sean O'Riain

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

74 Citations (Scopus)

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.

Original languageEnglish
Article number6051410
Pages (from-to)24-33
Number of pages10
JournalIEEE Internet Computing
Volume16
Issue number1
DOIs
Publication statusPublished - Jan 2012
Externally publishedYes

Keywords

  • Semantic Web.
  • linked data
  • linked data queries
  • semantic search

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