Modeling and querying graphical representations of statistical data

Michel Dumontier, Leo Ferres*, Natalia Villanueva-Rosales

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


Although pictorial renditions of statistical data are ubiquitous, few techniques and standards exist to exchange, search and query these graphical representations. We present several improvements to human–graph interaction including (i) a new approach to manage statistical graph knowledge by semantic annotation of graphs that bridges the gap between web 2.0 social tagging and formal, logic-based approaches, (ii) knowledge management and discovery across a non-trivial graph knowledge base and (iii) sophisticated question answering that requires background knowledge.
Original languageEnglish
Pages (from-to)241-254
JournalJournal of Web Semantics
Issue number2-3
Publication statusPublished - Jul 2010
Externally publishedYes


  • Charts and graphs
  • Statistics
  • Semantic Web
  • Ontology
  • Accessibility


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