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Semantic annotation and question answering of statistical graphs

Authors :
Michel Dumontier
Natalia Villanueva-Rosales
Leo Ferres
Source :
MICAI 2008: Advances in Artificial Intelligence ISBN: 9783540886358, MICAI, MICAI 2008: Advances in Artificial Intelligence: 7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008 Proceedings, 100-110, STARTPAGE=100;ENDPAGE=110;TITLE=MICAI 2008: Advances in Artificial Intelligence
Publication Year :
2008
Publisher :
Springer, 2008.

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.

Details

Language :
English
ISBN :
978-3-540-88635-8
ISBNs :
9783540886358
Database :
OpenAIRE
Journal :
MICAI 2008: Advances in Artificial Intelligence ISBN: 9783540886358, MICAI, MICAI 2008: Advances in Artificial Intelligence: 7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008 Proceedings, 100-110, STARTPAGE=100;ENDPAGE=110;TITLE=MICAI 2008: Advances in Artificial Intelligence
Accession number :
edsair.doi.dedup.....d6289546908b02095ebb40701a65f3e9