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A Semantic Approach to Shared Resource Discovery

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Collaboration and Technology (CRIWG 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8658))

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Abstract

The current available technologies have not been fully exploited to assist collaborators to perform activities that are considered as time/effort wasting and tedious, but which cannot be omitted. A person working in an organization can be in need of a resource they do not own at any moment, but in a place consisting of multiple buildings that are full of resources (e.g., computer devices, files, software and even people) it can get really hard for such a person to locate or even be sure whether there is a resource or a set of them able to fulfill their request. Some works have been already proposed intended to discover services, but their focus is mainly on applications looking for other applications. Therefore, those proposals do not consider information characterizing real life environment that involves human users, whose conditions are constantly changing (e.g., a person’s availability). In this paper, we propose a matchmaking service, which takes a semantic approach for resource discovery in collaborative environments by paying special attention to the effects of human interaction over the availability of resources. The proposed matchmaker has been implemented as a key service of the RAMS Architecture (Resource Availability Management Service) which is able to provide users with a pervasive experience for resource discovery.

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© 2014 Springer International Publishing Switzerland

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García, K., Velasco, S., Mendoza, S., Decouchant, D. (2014). A Semantic Approach to Shared Resource Discovery. In: Baloian, N., Burstein, F., Ogata, H., Santoro, F., Zurita, G. (eds) Collaboration and Technology. CRIWG 2014. Lecture Notes in Computer Science, vol 8658. Springer, Cham. https://doi.org/10.1007/978-3-319-10166-8_13

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  • DOI: https://doi.org/10.1007/978-3-319-10166-8_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10165-1

  • Online ISBN: 978-3-319-10166-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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