Mapping Ontology with Probabilistic Relational Models - An Application to Transformation Processes

Cristina Manfredotti, Cedric Baudrit, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin


Motivated by the necessity of reasoning about transformation experiments and their results, we propose a mapping between an ontology representing transformation processes and probabilistic relational models. These extend Bayesian networks with the notion of class and relation of relational data bases and, for this reason, are well suited to represent concepts and ontologies’ properties. To easy the representation, we exemplify a transformation process as a cooking recipe and present our approach for an ontology in the cooking domain that extends the Suggested Upper level Merged Ontology (SUMO).


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Paper Citation

in Harvard Style

Manfredotti C., Baudrit C., Dibie-Barthélemy J. and Wuillemin P. (2015). Mapping Ontology with Probabilistic Relational Models - An Application to Transformation Processes . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 171-178. DOI: 10.5220/0005590001710178

in Bibtex Style

author={Cristina Manfredotti and Cedric Baudrit and Juliette Dibie-Barthélemy and Pierre-Henri Wuillemin},
title={Mapping Ontology with Probabilistic Relational Models - An Application to Transformation Processes},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},

in EndNote Style

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - Mapping Ontology with Probabilistic Relational Models - An Application to Transformation Processes
SN - 978-989-758-158-8
AU - Manfredotti C.
AU - Baudrit C.
AU - Dibie-Barthélemy J.
AU - Wuillemin P.
PY - 2015
SP - 171
EP - 178
DO - 10.5220/0005590001710178