Large ontologies partitioning for alignment techniques scaling

Marouen Kachroudi; Walid Hassen; Sami Zghal; Sadok Ben Yahia

doi:10.5220/0004373101650168

Large ontologies partitioning for alignment techniques scaling

Marouen Kachroudi, Walid Hassen, Sami Zghal, Sadok Ben Yahia

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

Abstract

In the semantic Web register, ontologies are shown to be of help for many applications thanks to their expressiveness ability to explicit shared conceptualizations. This fact encouraged the emergence of large ontologies making their handling beyond human or sometimes machine capabilities. Thus, ontology partitioning seems to be a thriving issue for tackling such oversized ontologies and their administration through several systems. To meet this challenge, we propose in this paper a partitioning method, designed to take into account the goal of the alignment task.

Originalsprog	Engelsk
Titel	WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies
Forlag	SCITEPRESS Digital Library
Publikationsdato	2013
Sider	165-168
ISBN (Trykt)	9789898565549
DOI	https://doi.org/10.5220/0004373101650168
Status	Udgivet - 2013
Udgivet eksternt	Ja
Begivenhed	9th International Conference on Web Information Systems and Technologies, WEBIST 2013 - Aachen, Tyskland Varighed: 8. maj 2013 → 10. maj 2013

Konference

Konference	9th International Conference on Web Information Systems and Technologies, WEBIST 2013
Land/Område	Tyskland
By	Aachen
Periode	08/05/2013 → 10/05/2013
Sponsor	Information, Control and Communication (INSTICC), Institute for Systems and Technologies of

Dokumenter og links

10.5220/0004373101650168

SDU link

Tjek adgangen til materialet i Syddansk Universitetsbiblioteks søgemaskine

Citationsformater

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title = "Large ontologies partitioning for alignment techniques scaling",

abstract = "In the semantic Web register, ontologies are shown to be of help for many applications thanks to their expressiveness ability to explicit shared conceptualizations. This fact encouraged the emergence of large ontologies making their handling beyond human or sometimes machine capabilities. Thus, ontology partitioning seems to be a thriving issue for tackling such oversized ontologies and their administration through several systems. To meet this challenge, we propose in this paper a partitioning method, designed to take into account the goal of the alignment task.",

keywords = "Alignment techniques, Large ontologies, Partitioning, Scalability",

author = "Marouen Kachroudi and Walid Hassen and Sami Zghal and \{Ben Yahia\}, Sadok",

year = "2013",

doi = "10.5220/0004373101650168",

language = "English",

isbn = "9789898565549",

pages = "165--168",

booktitle = "WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies",

publisher = "SCITEPRESS Digital Library",

note = "9th International Conference on Web Information Systems and Technologies, WEBIST 2013 ; Conference date: 08-05-2013 Through 10-05-2013",

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Kachroudi, M, Hassen, W, Zghal, S & Ben Yahia, S 2013, Large ontologies partitioning for alignment techniques scaling. i WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies. SCITEPRESS Digital Library, s. 165-168, 9th International Conference on Web Information Systems and Technologies, WEBIST 2013, Aachen, Tyskland, 08/05/2013. https://doi.org/10.5220/0004373101650168

Large ontologies partitioning for alignment techniques scaling. / Kachroudi, Marouen; Hassen, Walid; Zghal, Sami et al.
WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies. SCITEPRESS Digital Library, 2013. s. 165-168.

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Large ontologies partitioning for alignment techniques scaling

AU - Kachroudi, Marouen

AU - Hassen, Walid

AU - Zghal, Sami

AU - Ben Yahia, Sadok

PY - 2013

Y1 - 2013

N2 - In the semantic Web register, ontologies are shown to be of help for many applications thanks to their expressiveness ability to explicit shared conceptualizations. This fact encouraged the emergence of large ontologies making their handling beyond human or sometimes machine capabilities. Thus, ontology partitioning seems to be a thriving issue for tackling such oversized ontologies and their administration through several systems. To meet this challenge, we propose in this paper a partitioning method, designed to take into account the goal of the alignment task.

AB - In the semantic Web register, ontologies are shown to be of help for many applications thanks to their expressiveness ability to explicit shared conceptualizations. This fact encouraged the emergence of large ontologies making their handling beyond human or sometimes machine capabilities. Thus, ontology partitioning seems to be a thriving issue for tackling such oversized ontologies and their administration through several systems. To meet this challenge, we propose in this paper a partitioning method, designed to take into account the goal of the alignment task.

KW - Alignment techniques

KW - Large ontologies

KW - Partitioning

KW - Scalability

U2 - 10.5220/0004373101650168

DO - 10.5220/0004373101650168

M3 - Article in proceedings

AN - SCOPUS:84887040178

SN - 9789898565549

SP - 165

EP - 168

BT - WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies

PB - SCITEPRESS Digital Library

T2 - 9th International Conference on Web Information Systems and Technologies, WEBIST 2013

Y2 - 8 May 2013 through 10 May 2013

ER -

Large ontologies partitioning for alignment techniques scaling

Abstract

Konference

Dokumenter og links

SDU link

Fingeraftryk

Citationsformater