Français Anglais
Accueil Annuaire Plan du site
Home > Research results > Research highlights
Research results
Research highlight : MAPPING ADAPTATION ACTIONS FOR THE AUTOMATIC RECONCILIATION OF DYNAMIC ONTOLOGIES
MAPPING ADAPTATION ACTIONS FOR THE AUTOMATIC RECONCILIATION OF DYNAMIC ONTOLOGIES
27 October 2013

J. C. Dos Reis, D. Dinh, C. Pruski, M. Da Silveira, C. Reynaud-Delaître
J. C. Dos Reis, D. Dinh, C. Pruski, M. Da Silveira, C. Reynaud-Delaître, ACM Internaltional Conference on Information and Knowledge Management (CIKM 2013), October 27th - November 1st, San Francisco Airport Marriott Waterfront, Burlingame, CA, USA.

Abstract:
The highly dynamic nature of domain ontologies has a direct impact on semantic mappings established between concepts from different ontologies. Mappings must therefore be maintained according to ongoing ontology changes. Since many software applications exploit mappings for managing information and knowledge, it is important to have appropriate adaptation operations to apply on existing mappings in order to keep their validity over time. In this article, we propose a set of mapping adatation actions and present how they are used to maintain mappings up-to-date based on ontology change operations of different nature. We conduct an experimental evaluation using real-world life sciences ontologies and mappings. We measure empirically the evolution of mappings based on the proposed approach to mapping adaptation. The experimental results confirm that mappings must be individually adapted according to the different types of ontology change.



Keyword
  ° Artificial Intelligence
  ° Information integration
  ° Knowledge engineering

Group
  ° Artificial Intelligence and Inference Systems
  ° Large-scale Heterogeneous DAta and Knowledge

Contact
  ° REYNAUD Chantal
Research highlights
BEST PAPER AWARD - HPCS 2019 - ON SERVER-SIDE FILE ACCESS PATTERN MATCHING
17 July 2019
Francieli Zanon Boito¹ , Ramon Nou², Laércio Lima Pilla³, Jean Luca Bez⁴, Jean-François Méhaut¹, T

BEST FULL PAPER AWARD EDM 2019 - EDUCATIONAL DATA MINING
5 July 2019
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Ski

BEST PAPER AWARD - CODIT2019 - STOCHASTIC DUAL DYNAMIC INTEGER PROGRAMMING FOR A MULTI-ECHELON LOT-SIZING PROBLEM WITH REMANUFACTURING AND LOST SALES
14 May 2019
Franco Quezada, Céline Gicquel and Safia Kedad-Sidhoum

BEST PAPER AWARD ICONS 2019: RESONANCE THINKING AND INDUCTIVE MACHINE LEARNING
6 May 2019
Yves Kodratoff & Marta Franova

COMPUTER‐AIDED BIOCHEMICAL PROGRAMMING OF SYNTHETIC MICROREACTORS AS DIAGNOSTIC DEVICES
27 April 2018
Alexis Courbet, Patrick Amar, Francois Fages, Eric Renard, Franck Molina Mol Syst Biol. (2018) 14: