A Flexible System for Ontology Matching

Duy Hoa Ngo 1, 2 Zohra Bellahsene 2 Remi Coletta 2
2 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Most of solutions provided by current ontology matching tools lack flexibility and extensibility namely for adding new matchers and dealing with users' requirements. In this paper, we present a system YAM++, which supports self-configuration, flexibility and extensibility in combining individual matchers. Moreover, it is more human-centered approach since it allows users to express their preference between precision and recall. A set of experiments over OAEI benchmark dataset demonstrate its effectiveness and efficiency in terms of quality of matching and flexibility of the system.
Document type :
Conference papers
Complete list of metadatas

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00639705
Contributor : Duy Hoa Ngo <>
Submitted on : Wednesday, November 9, 2011 - 5:47:51 PM
Last modification on : Wednesday, November 14, 2018 - 2:56:02 PM
Long-term archiving on : Thursday, November 15, 2012 - 11:37:03 AM

File

A_Flexible_System_for_Ontology...
Files produced by the author(s)

Identifiers

  • HAL Id : lirmm-00639705, version 1

Collections

Citation

Duy Hoa Ngo, Zohra Bellahsene, Remi Coletta. A Flexible System for Ontology Matching. CAISE'11: International Conference on Advanced Information Systems Engineering, Jun 2011, London, United Kingdom. pp.73-80. ⟨lirmm-00639705⟩

Share

Metrics

Record views

500

Files downloads

813