Comment représenter et découvrir des liens d'identité contextuelle dans une base de connaissances : Application à des données expérimentales en sciences du vivant

De nombreuses applications du web de donnees exploitent des liens d’identites declares a l’aide du constructeur owl:sameAs. Cependant, differentes etudes ont montre qu’une utilisation abusive de ces liens peut conduire a des resultats errones ou contradictoires. Dans cet article nous proposons un nouveau lien d’identite contextuelle qui permet de representer les contextes dans lesquels deux instances de classes sont identiques. Nous avons propose et developpe un algorithme nomme DECIDE pour detecter ces liens contextuels. Cette approche a ete testee sur des donnees scientifiques decrivant des processus de transformations issus de projets menes par l’INRA.

[1]  Deborah L. McGuinness,et al.  When owl: sameAs Isn't the Same: An Analysis of Identity in Linked Data , 2010, SEMWEB.

[2]  Egon L. Willighagen,et al.  Scientific Lenses to Support Multiple Views over Linked Chemistry Data , 2014, SEMWEB.

[3]  Jeremy J. Carroll,et al.  Named graphs, provenance and trust , 2005, WWW '05.

[4]  Amit P. Sheth,et al.  Don't like RDF reification?: making statements about statements using singleton property , 2014, WWW.

[5]  Nathalie Pernelle,et al.  Détection de liens d'identité contextuels dans une base de connaissances , 2017, IC.

[6]  Yuzhong Qu,et al.  A self-training approach for resolving object coreference on the semantic web , 2011, WWW.

[7]  Ian Horrocks,et al.  An Introduction to Description Logic , 2017 .

[8]  Jayant Madhavan,et al.  Reference reconciliation in complex information spaces , 2005, SIGMOD '05.

[9]  Frank van Harmelen,et al.  sameAs.cc: The Closure of 500M owl: sameAs Statements , 2018, ESWC.

[10]  Sébastien Ferré,et al.  Graph-FCA in Practice , 2016, ICCS.

[11]  Nathalie Pernelle,et al.  Combining a Logical and a Numerical Method for Data Reconciliation , 2009, J. Data Semant..

[12]  Gerard de Melo Not Quite the Same: Identity Constraints for the Web of Linked Data , 2013, AAAI.

[13]  A. Ayer The Identity of Indiscernibles , 1954 .

[14]  Jérôme David,et al.  Uncertainty-Sensitive Reasoning for Inferring sameAs Facts in Linked Data , 2016, ECAI.

[15]  L. Stein,et al.  OWL Web Ontology Language - Reference , 2004 .

[16]  Martin Gaedke,et al.  Discovering and Maintaining Links on the Web of Data , 2009, SEMWEB.

[17]  Manuel Atencia,et al.  Inferring Same-As Facts from Linked Data: An Iterative Import-by-Query Approach , 2015, AAAI.

[18]  Nicole Tourigny,et al.  Bio2RDF: Towards a mashup to build bioinformatics knowledge systems , 2008, J. Biomed. Informatics.

[19]  Nathalie Pernelle,et al.  Logical Detection of Invalid SameAs Statements in RDF Data , 2014, EKAW.

[20]  Jens Lehmann,et al.  Assessing Linked Data Mappings Using Network Measures , 2012, ESWC.

[21]  Hugh Glaser,et al.  URI Disambiguation in the Context of Linked Data , 2008, LDOW.

[22]  Enrico Motta,et al.  Unsupervised Learning of Link Discovery Configuration , 2012, ESWC.

[23]  Jakub Simko,et al.  Data linking for the Semantic Web , 2015 .

[24]  Frank van Harmelen,et al.  A Contextualised Semantics for owl: sameAs , 2016, ESWC.

[25]  Nathalie Pernelle,et al.  Detection of Contextual Identity Links in a Knowledge Base , 2017, K-CAP.

[26]  Sean Bechhofer,et al.  SKOS Simple Knowledge Organization System Reference , 2009 .

[27]  Juliette Dibie,et al.  PO2 - A Process and Observation Ontology in Food Science. Application to Dairy Gels , 2016, MTSR.

[28]  Patrick J. Hayes,et al.  When owl: sameAs isn't the Same Redux: Towards a Theory of Identity, Context, and Inference on the Semantic Web , 2015, CONTEXT.

[29]  Amedeo Napoli,et al.  Relational concept analysis: mining concept lattices from multi-relational data , 2013, Annals of Mathematics and Artificial Intelligence.