Emergent semantics systems

Karl Aberer; Tiziana Catarci; Philippe Cudré-Mauroux; Tharam Dillon; Stephan Grimm; Mohand Said Hacid; Arantza Illarramendi; Mustafa Jarrar; Vipul Kashyap; Massimo Mecella; Eduardo Mena; Erich J. Neuhold; Aris M. Ouksel; Thomas Risse; Monica Scannapieco; Fèlix Saltor; Luca De Santis; Stefano Spaccapietra; Steffen Staab; Rudi Studer; Olga De Troyer

doi:10.1007/978-3-540-30145-5_2

Emergent semantics systems

Karl Aberer
, Tiziana Catarci
, Philippe Cudré-Mauroux
, Tharam Dillon
, Stephan Grimm
, Mohand Said Hacid
, Arantza Illarramendi
, Mustafa Jarrar
, Vipul Kashyap
, Massimo Mecella
, Eduardo Mena
, Erich J. Neuhold
, Aris M. Ouksel
, Thomas Risse
, Monica Scannapieco
, Fèlix Saltor
, Luca De Santis
, Stefano Spaccapietra
, Steffen Staab
, Rudi Studer

Olga De Troyer

Swiss Federal Institute of Technology Lausanne
University of Rome La Sapienza
University of Technology Sydney
Karlsruhe Institute of Technology
Université de Lyon
University of the Basque Country
Vrije Universiteit Brussel
National Library of Medicine
University of Zaragoza
Fraunhofer Institute for Computer Graphics Research
University of Illinois at Chicago
Polytechnic University of Catalonia

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

26 Citations (Scopus)

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Mokrane Bouzeghoub, Carole Goble, Vipul Kashyap, Stefano Spaccapietra
Publisher	Springer Verlag
Pages	14-43
Number of pages	30
ISBN (Print)	3540236090, 9783540236092
DOIs	https://doi.org/10.1007/978-3-540-30145-5_2
Publication status	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3226
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Access to Document

10.1007/978-3-540-30145-5_2

Cite this

Aberer, K., Catarci, T., Cudré-Mauroux, P., Dillon, T., Grimm, S., Hacid, M. S., 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., ... De Troyer, O. (2004). Emergent semantics systems. In M. Bouzeghoub, C. Goble, V. Kashyap, & S. Spaccapietra (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 14-43). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3226). Springer Verlag. https://doi.org/10.1007/978-3-540-30145-5_2

Aberer, Karl ; Catarci, Tiziana ; Cudré-Mauroux, Philippe et al. / Emergent semantics systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Mokrane Bouzeghoub ; Carole Goble ; Vipul Kashyap ; Stefano Spaccapietra. Springer Verlag, 2004. pp. 14-43 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Emergent semantics systems",

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-{\`a}-vis their potential applications.",

author = "Karl Aberer and Tiziana Catarci and Philippe Cudr{\'e}-Mauroux and Tharam Dillon and Stephan Grimm and Hacid, \{Mohand Said\} and Arantza Illarramendi and Mustafa Jarrar and Vipul Kashyap and Massimo Mecella and Eduardo Mena and Neuhold, \{Erich J.\} and Ouksel, \{Aris M.\} and Thomas Risse and Monica Scannapieco and F{\`e}lix Saltor and \{De Santis\}, Luca and Stefano Spaccapietra and Steffen Staab and Rudi Studer and \{De Troyer\}, Olga",

year = "2004",

doi = "10.1007/978-3-540-30145-5\_2",

language = "English",

isbn = "3540236090",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "14--43",

editor = "Mokrane Bouzeghoub and Carole Goble and Vipul Kashyap and Stefano Spaccapietra",

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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 2004, Emergent semantics systems. in M Bouzeghoub, C Goble, V Kashyap & S Spaccapietra (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3226, Springer Verlag, pp. 14-43. https://doi.org/10.1007/978-3-540-30145-5_2

Emergent semantics systems. / Aberer, Karl; Catarci, Tiziana; Cudré-Mauroux, Philippe et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Mokrane Bouzeghoub; Carole Goble; Vipul Kashyap; Stefano Spaccapietra. Springer Verlag, 2004. p. 14-43 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3226).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Emergent semantics systems

AU - Aberer, Karl

AU - Catarci, Tiziana

AU - Cudré-Mauroux, Philippe

AU - Dillon, Tharam

AU - Grimm, Stephan

AU - Hacid, Mohand Said

AU - Illarramendi, Arantza

AU - Jarrar, Mustafa

AU - Kashyap, Vipul

AU - Mecella, Massimo

AU - Mena, Eduardo

AU - Neuhold, Erich J.

AU - Ouksel, Aris M.

AU - Risse, Thomas

AU - Scannapieco, Monica

AU - Saltor, Fèlix

AU - De Santis, Luca

AU - Spaccapietra, Stefano

AU - Staab, Steffen

AU - Studer, Rudi

AU - De Troyer, Olga

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/35048875710

U2 - 10.1007/978-3-540-30145-5_2

DO - 10.1007/978-3-540-30145-5_2

M3 - Chapter

AN - SCOPUS:35048875710

SN - 3540236090

SN - 9783540236092

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 14

EP - 43

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Bouzeghoub, Mokrane

A2 - Goble, Carole

A2 - Kashyap, Vipul

A2 - Spaccapietra, Stefano

PB - Springer Verlag

ER -

Aberer K, Catarci T, Cudré-Mauroux P, Dillon T, Grimm S, Hacid MS et al. Emergent semantics systems. In Bouzeghoub M, Goble C, Kashyap V, Spaccapietra S, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 14-43. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30145-5_2

Emergent semantics systems

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