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-à-vis their potential applications. © IFIP International Federation for Information Processing 2004.
CITATION STYLE
Aberer, K., Catarci, T., Cudré-Mauroux, P., Dillon, T., Grimm, S., Hacid, M. S., … De Troyer, O. (2004). Emergent semantics systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3226, 14–43. https://doi.org/10.1007/978-3-540-30145-5_2
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