A software retrieval service based on adaptive knowledge-driven agents for wireless environments

  • Authors:
  • Eduardo Mena;Arantza Illarramendi;Jose A. Royo;Alfredo GoñI

  • Affiliations:
  • University of Zaragoza, Zaragoza, Spain;University of the Basque Country, San Sebastian, Spain;University of Zaragoza, San Sebastian, Spain;University of the Basque Country, San Sebastian, Spain

  • Venue:
  • ACM Transactions on Autonomous and Adaptive Systems (TAAS)
  • Year:
  • 2006

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Abstract

The ability to retrieve software in an easy and efficient way confers competitive advantage on computer users in general and, even more especially, on users of wireless devices (like some laptops, PDAs, etc.). In this article, we present a software retrieval service that allows users to select and retrieve software in an easy and efficient way, anywhere and anytime. Two relevant components of this service are: 1) a software ontology (software catalog) which provides users with a semantic description of software elements, hiding the location and access method of various software repositories, and 2) a set of specialist agents that allow browsing of the software catalog (automatically customized for each user), and an efficient retrieval method for the selected software. These agents automatically adapt their behavior to different users and situations by considering the profile and preferences of the users and the network status.In summary, our software-obtaining process based on an ontology and autonomous and adaptive agents presents a qualitative advance with respect to existing solutions: our approach adapts to the features of users, relieving them from knowing the technical features of their devices and the location and access method of various remote software repositories.