Volume 4 Number 9 (Sep. 2009)
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JCP 2009 Vol.4(9): 905-912 ISSN: 1796-203X
doi: 10.4304/jcp.4.9.905-912

Sharing Biomedical Learning Knowledge for Social Ambient Intelligence

Sabah Mohammed1, Jinan Fiaidhi1, Osama Mohammed2
1Lakehead University/Computer Science Department, Thunder Bay, Canada
2Lakehead University/Software Engineering Department, Thunder Bay, Canada


Abstract—In this paper, we describe a Bio-SAmI system, which is a Biomedical learning system that is context-aware and responsive to mobile learners sharing information on a social network. Bio-SAmI is a Web 2.0 enabled system which employees Social Ambient Intelligence techniques. The Bio-SAmI infrastructure is based on the Actor model that treats mobile users or “actors" as the universal primitives of computation. The actor model is implemented using a combination of Java enabled APIs including SALSA, JADE, LEAP and tuPrologME. The implemented prototype enable learners to share biomedical information represented by the DICOM SR standard in relation to the notion of inflammation as well as to respond to variety of learning queries including classifying learning case studies, finding learning case studies, locating a FOAF learner and syndication and aggregation of learning case studies .

Index Terms—Ambient Intelligence, Web 2.0, Biomedical Learning, JADE, Actor-Oriented Programming, SALSA, tuPrologME, DICOM.

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Cite: Sabah Mohammed, Jinan Fiaidhi, Osama Mohammed, "Sharing Biomedical Learning Knowledge for Social Ambient Intelligence," Journal of Computers vol. 4, no. 9, pp. 905-912, 2009.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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