Abstract
This paper presents our work-in-progress on designing and implementing an integrated ontology for widespread knowledge dissemination in the domain of obesity with emphasis on childhood obesity. The COPE ontology aims to support a knowledge-based infrastructure to promote healthy eating habits and lifestyles, analyze children’s behaviors and habits associated with obesity and to prevent or reduce the prevalence of childhood obesity and overweight. By formally integrating and harmonizing multiple knowledge sources across disciplinary boundaries, we will facilitate cross-sectional analysis of the domain of obesity and generate both generic and customized preventive recommendations, which take into consideration several factors, including existing conditions in individuals and communities.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
OBESITY, Health Canada Catalogue # H13-7/20-2006E-PDF (2006) ISBN # 0-662-44192-3
HCF Health Report on obesity and weight loss, No 9 (2003), http://www.hcf.com.au/pdf/obesity.pdf
Smith, B., Ashburner, M., et al.: The OBO Foundry: Coordinated Evolution of Ontologies to Support Biomedical Data Integration. Nature Biotechnol. 25(11), 1251–1255 (2007)
OWL 2.0 Overview, http://www.w3.org/TR/owl2-overview/
Haarslev, V., Möller, R.: RACER System Description. In: Goré, R.P., Leitsch, A., Nipkow, T. (eds.) IJCAR 2001. LNCS (LNAI), vol. 2083, pp. 701–706. Springer, Heidelberg (2001)
Pellet: OWL 2 Reasoner for Java, http://clarkparsia.com/pellet/
Singh, G.K., Kogan, M.D., van Dyck, P.C.: Changes in state-specific childhood obesity and overweight prevalence in the United States from 2003 to 2007. Arch. Pediatr. Adolesc. Med. 164(7), 598–607 (2010)
Dubé, L., Bechara, A., Böckenholt, U., Ansari, A., Dagher, A., et al.: Towards a brain-to-society systems model of individual choice. Market Lett 19, 323–336 (2008)
Ng, C., Marshall, D., Willows, N.D.: Obesity, adiposity, physical fitness and activity le-vels in Cree children. Int. J. Circumpolar Health 65(4), 322–330 (2006)
McGill World Platform for Health and Economic Convergence, http://www.mcgill.ca/mwp/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shaban-Nejad, A., Buckeridge, D.L., Dubé, L. (2011). COPE: Childhood Obesity Prevention [Knowledge] Enterprise. In: Peleg, M., Lavrač, N., Combi, C. (eds) Artificial Intelligence in Medicine. AIME 2011. Lecture Notes in Computer Science(), vol 6747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22218-4_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-22218-4_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22217-7
Online ISBN: 978-3-642-22218-4
eBook Packages: Computer ScienceComputer Science (R0)