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An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System


An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System

El-Hachem, Jinan, Shaban-Nejad, Arash, Haarslev, Volker, DubŽ, Laurette and Buckeridge, David L. (2012) An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System. Procedia Computer Science, 10 . pp. 110-119. ISSN 18770509

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Official URL: http://dx.doi.org/10.1016/j.procs.2012.06.018


Amid the extremely active Semantic Web community and the Social Web's exceptionally rising popularity, experts believe that an amplified fusion between the two webs will give rise to the next huge advancement in Web intelligence. Such advances can particularly be translated into ambient and ubiquitous systems and applications. In this paper, we delve into the recent advances in knowledge representation, semantic web, natural language processing and online social networking data and concepts, to propose an inclusive platform and framework defining ambient recommender and decision support systems that aim at facilitating cross-sectional analysis of the domain of childhood obesity and generating both generic and customized preventive recommendations.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Article
Authors:El-Hachem, Jinan and Shaban-Nejad, Arash and Haarslev, Volker and DubŽ, Laurette and Buckeridge, David L.
Journal or Publication:Procedia Computer Science
Digital Object Identifier (DOI):10.1016/j.procs.2012.06.018
Keywords:Ambient systems; Web Ontology Language (OWL); Social Web; Semantic Web; Recommender Systems; Biomedical Ontologies; Natural Language Processing; Childhood Obesity Prevention
ID Code:976806
Deposited By: Danielle Dennie
Deposited On:28 Jan 2013 13:53
Last Modified:18 Jan 2018 17:43


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