Semantic Annotation and Question Answering of Statistical Graphs

Authors:
Michel Dumontier;Leo Ferres;Natalia Villanueva-Rosales
Affiliations:
Department of Biology, and School of Computer Science, Carleton University, Ottawa, Canada;Department of Computer Science, University of Concepción, Concepción, Chile;School of Computer Science, Carleton University, Ottawa, Canada
Venue:
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2008

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Abstract

Although statistical graphs are ubiquitous, few techniques and standards exist to exchange, search and query these graphical representations. The gSem project aims to improve human-graph interaction by developing new approaches to manage statistical graph knowledge. Two specific objectives of this project are addressed in this paper: (1) improve the efficiency of searching statistical graph knowledge and (2) facilitate sophisticated question answering about statistical graph knowledge. In particular, semantic annotation and query answering across statistical graphs with OWL ontologies are described.