Semantic annotation and question answering of statistical graphs

M. Dumontier, Leo Ferres, Natalia Villanueva-Rosales

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


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.
Original languageEnglish
Title of host publicationMICAI 2008: Advances in Artificial Intelligence
Subtitle of host publication7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008 Proceedings
Number of pages11
ISBN (Electronic)9783540886365
ISBN (Print)9783540886358
Publication statusPublished - 2008
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science

Cite this