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Implementing a Role Based Mutual Assistance Community with Semantic Service Description and Matching

by Researcher at University of Antwerp and the iMinds research institute on Dec 22, 2013

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The population of elderly people is increasing rapidly, which ...

The population of elderly people is increasing rapidly, which
becomes a predominant aspect of our society. For several reasons
so significant a share of the human society is simply regarded as
“retired” – a word condemning the elderly to a reduced
participation in all active life, regardless of their actual
conditions and abilities. In previous work, we discussed how
community resources can be organized in a better way. In
particular we introduced a so-called mutual assistance
community – a digital ecosystem that removes any predefined
and artificial distinction between care-givers and care-takers and
provides a service-oriented infrastructure for intelligent matching
of the supply and demand of services. According to this new
paradigm all people are potentially active participants to
activities defined by the people’s current needs, abilities,
locations, and availabilities. Moving from this conceptual view to
practical implementation calls for an architecture able to match
adequately demand and supply of services. This paper presents
an implementation of such an architecture based on semantic
service description and matching. In comparison with our
previous implementation, main added values include a greater
flexibility in service representation and service matching and
considerable improvements in performance.

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Implementing a Role Based Mutual Assistance Community with Semantic Service Description and Matching Implementing a Role Based Mutual Assistance Community with Semantic Service Description and Matching Document Transcript