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Ph.D de

Ph.D
Group : Artificial Intelligence and Inference Systems

Améliorer l'interopérabilité sémantique : Applicabilité et utilité de l'alignement d'ontologies

Starts on 06/10/2008
Advisor : REYNAUD, Chantal

Funding : CDD sur contrat CNRS
Affiliation : Université Paris-Sud
Laboratory : LRI INRIA LEO

Defended on 02/12/2011, committee :
Jérôme Euzenat (Rapporteur), Directeur de recherche, INRIA Rhône-Alpes
Bernd Amann (Rapporteur), Professeur, Université Paris 6
Jean Charlet (Examinateur), Chargé de mission AP-HP, INSERM
Sébastien Mustière (Examinateur), Chargé d'études et de recherche, IGN
Christine Froidevaux (Examinatrice), Professeur, Université Paris-Sud 11,
LRI
Chantal Reynaud (Directrice de thèse), Professeur, Université Paris-Sud
11, LRI
Brigitte Safar (Co-directrice de thèse), Maître de conférences, Université
Paris-Sud 11, LRI

Research activities :

Abstract :
n this thesis, we present approaches for adapting an alignment process to
the characteristics of the aligned ontologies, whether in respect of the
quantitative characteristics such as their volume or the particular
characteristics related for example to the way in which the labels of the
concepts are built.

Concerning the quantitative characteristics, we propose two ontology
partitioning methods that make the alignment of very large ontologies
possible. Both methods generate in the input of the alignment process,
subsets of reasonable size of the two ontologies to be aligned by taking
into account, as soon as possible, the alignment objective in the
partitioning process.

Concerning the particular characteristics of the aligned ontologies, we
present the TaxoMap Framework environment that allows the specification of
refinement treatments from predefined primitives. We propose a pattern
language MPL (the Mapping Pattern Language) that we use to specify the
refinement treatments.

In addition to the adaptation approaches to the characteristics of the
aligned ontologies, we present approaches for re-using the alignment
results for the ontological engineering. We focus specifically on the use
of the alignment for the ontology enrichment. We study the contribution of
the alignment techniques for the enrichment and the impact of the
characteristics of the external resource used as a source of enrichment.

Finally, we present how the TaxoMap Framework environment was implemented
and the performed experiments: tests on the TaxoMap alignment module, on
the mappings refinement approach, on the partitioning methods of very large
ontologies and on the ontology enrichment approach.

Ph.D. dissertations & Faculty habilitations
DECODING THE PLATFORM SOCIETY: ORGANIZATIONS, MARKETS AND NETWORKS IN THE DIGITAL ECONOMY
The original manuscript conceptualizes the recent rise of digital platforms along three main dimensions: their nature of coordination devices fueled by data, the ensuing transformations of labor, and the accompanying promises of societal innovation. The overall ambition is to unpack the coordination role of the platform and where it stands in the horizon of the classical firm – market duality. It is also to precisely understand how it uses data to do so, where it drives labor, and how it accommodates socially innovative projects. I extend this analysis to show continuity between today’s society dominated by platforms and the “organizational society”, claiming that platforms are organized structures that distribute resources, produce asymmetries of wealth and power, and push social innovation to the periphery of the system. I discuss the policy implications of these tendencies and propose avenues for follow-up research.

DISTRIBUTED COMPUTING WITH LIMITED RESOURCES


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