S. Guo, J. Keeney, D. O’Sullivan, D. Lewis ‘Coping with diverse semantic models when routing ubiquitous computing information’ in proceedings of tThe 5th International IEEE Workshop on Managing Ubiquitous Communications and Services (MUCS2008) at NOMS 2008, Salvador, Bahia, Brazil, 11 April, (2008), pp 290 - 298
Routing of contextual information within ubiquitous
computing environments is a key challenge that must be tackled
for such environments to be successful. It is accepted that such
routing systems need to cope with mobile and volatile sources
and destinations of contextual information, and semantic-based
publish subscribe systems have been proposed as a means to
support this. However such systems typically assume a common
semantic model underpinning the routing which limits their
ability to cope with heterogeneity. In contrast, the authors have
developed a semantic-based publish subscribe system that is
unique in allowing several semantic models to support routing.
It is known from previous work that the number of semantic
models in memory directly impacts on performance of routing,
and that different loading strategies are needed, the selection of
which is influenced by: the characteristics of the semantic model
itself, the applications using the system and the network
environment. This paper however just focuses on the
experiments that have been undertaken to determine the key
semantic model characteristics that may influence the selection
of which loading strategy to use.
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