Emergent Semantics Systems
Karl Aberer
(1)
,
Tiziana Catarci
(2)
,
Philippe Cudré-Mauroux
(1)
,
Tharam S. Dillon
(3)
,
Stephan Grimm
(4)
,
Mohand-Said Hacid
(5)
,
Arantza Illarramendi
(6)
,
Mustafa Jarrar
(7)
,
Vipul Kashyap
(8)
,
Massimo Mecella
(2)
,
Eduardo Mena
(9)
,
Erich J Neuhold
(10, 1)
,
Aris M Ouksel
(11, 1)
,
Thomas Risse
(1, 10)
,
Monica Scannapieco
(2)
,
Felix Saltor
(12, 1)
,
Luca de Santis
(2)
,
Stefano Spaccapietra
(1)
,
Steffen Staab
(4)
,
Rudi Studer
(4)
,
Olga de Troyer
(7)
1
ETH Zürich -
Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich]
2 UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
3 UTS - University of Technology Sydney
4 TH - Universität Karlsruhe
5 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
6 UPV/EHU - University of the Basque Country/Euskal Herriko Unibertsitatea
7 VUB - Vrije Universiteit Brussel
8 NLM - National Library of Medicine
9 University of Zaragoza - Universidad de Zaragoza [Zaragoza]
10 Fraunhofer ISI - Fraunhofer Institute for Systems and Innovation Research
11 UIC - University of Illinois [Chicago]
12 UPC - Universitat Politècnica de Catalunya [Barcelona]
2 UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
3 UTS - University of Technology Sydney
4 TH - Universität Karlsruhe
5 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
6 UPV/EHU - University of the Basque Country/Euskal Herriko Unibertsitatea
7 VUB - Vrije Universiteit Brussel
8 NLM - National Library of Medicine
9 University of Zaragoza - Universidad de Zaragoza [Zaragoza]
10 Fraunhofer ISI - Fraunhofer Institute for Systems and Innovation Research
11 UIC - University of Illinois [Chicago]
12 UPC - Universitat Politècnica de Catalunya [Barcelona]
Abstract
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.
The work presented in this paper reflects the current status of a collaborative effort initiated by the IFIP 2.6 Working Group on Databases. It was partly carried out as part of the European project KnowlegeWeb No 507482. A previous version of this work was published in the proceedings of DASFAA04.