Aberer, K.; Catarci, T.; Cudre-Mauroux, P.; Dillon, T. S; Grimm, S.; Hacid, M.; Illarramendi, A.; Jarrar, M.; Kashyap, V.; Mecella, M.; Mena, E.; Neuhold, E. J; Ouksel, A. M; Risse, T.; Scannapieco, M.; Saltor, F.; de Santis, L.; Spaccapietra, S.; Staab, S.; Studer, R.; De Troyer, O.
With new standards like RDF or OWL paving the way for
the much anticipated Semantic Web, a new breed of very large scale
semantic systems is about to appear. Traditional semantic reconciliation
techniques, dependent upon shared vocabularies or global ontologies,
cannot be used in such open and dynamic environments. Instead,
new heuristics based on emerging properties and local consensuses have
to be exploited in order to foster semantic interoperability in the large. In
this paper, we outline the main differences between traditional semantic
reconciliation methods and these new heuristics. Also, we characterize
the resulting emergent semantics systems and provide a couple of hints
vis-a-vis their potential applications.
