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Modeling and Querying Graphical Representations of Statistical Data

20 Pages Posted: 5 Jul 2018 Publication Status: Accepted

See all articles by Michel Dumontier

Michel Dumontier

Carleton University - Department of Biology; Carleton University - School of Computer Science

Leo Ferres

University of Concepción - Department of Computer Engineering and Computer Science

Natalia Villanueva-Rosales

Carleton University - School of Computer Science

Abstract

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 using Semantic Web technology.

Keywords: charts and graphs, statistics, semantic web, ontology, accessibility

Suggested Citation

Dumontier, Michel and Ferres, Leo and Villanueva-Rosales, Natalia, Modeling and Querying Graphical Representations of Statistical Data (December 26, 2010). Available at SSRN: https://ssrn.com/abstract=3199478 or http://dx.doi.org/10.2139/ssrn.3199478

Michel Dumontier (Contact Author)

Carleton University - Department of Biology

209 Nesbitt Biology Building
1125 COLONEL BY DRIVE
Ottawa, Ontario K1S 5B6
Canada

Carleton University - School of Computer Science

HP5302
1125 Colonel By Drive
Ottawa, Ontario K1S 5B6
Canada

Leo Ferres

University of Concepción - Department of Computer Engineering and Computer Science ( email )

Edmundo Larenas 219 – 3er.Piso
Concepción
Chile

Natalia Villanueva-Rosales

Carleton University - School of Computer Science

HP5302
1125 Colonel By Drive
Ottawa, Ontario K1S 5B6
Canada

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