Emergent semantics systems

被引:0
|
作者
Aberer, K
Catarci, T
Cudré-Mauroux, P
Dillon, T
Grimm, S
Hacid, MS
Illarramendi, A
Jarrar, M
Kashyap, V
Mecella, M
Mena, E
Neuhold, EJ
Ouksel, AM
Risse, T
Scannapieco, M
Saltor, F
de Santis, L
Spaccapietra, S
Staab, S
Studer, R
De Troyer, O
机构
[1] Swiss Fed Inst Technol, EPFL, Lausanne, Switzerland
[2] Univ Roma La Sapienza, Rome, Italy
[3] Univ Technol Sydney, Sydney, NSW 2007, Australia
[4] Univ Karlsruhe, Karlsruhe, Germany
[5] Univ Lyon 1, F-69365 Lyon, France
[6] Free Univ Brussels, Brussels, Belgium
[7] Natl Lib Med, Bethesda, MD 20894 USA
[8] Univ Zaragoza, Zaragoza, Spain
[9] Univ Illinois, Chicago, IL USA
[10] Univ Politecn Cataluna, E-08028 Barcelona, Spain
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:14 / 43
页数:30
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