WorldCIST'15 - 3rd World Conference on Information Systems and Technologies

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A Multi-agent Framework for Web Information Foraging: Application to MedlinePlus

The major progress experienced by the web recently gave birth to new issues and new paradigms. One of those concerns is having an intelligent system capable of foraging information from the Web in an efficient and rapid way. A multi-agent architecture is proposed for this purpose, in which we distinguish three important phases. The first one is a learning process for localizing the most relevant pages that might interest the user. The second consists in an incremental learning starting from the result of the first phase and constantly reshaping the outcomes taking into account the changes that undergoes the Web. Finally, the last step simulates the information foraging process once the authorities are learned. In order to validate our proposal, experiments were conducted on MedlinePlus, a public site dedicated for research in the domain of Health. The results are promising either for those related to Web regularities and for surfing time.

Author(s):

Yassine Drias    
USTHB
Algeria

Samir Kechid    
USTHB
Algeria

 

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