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Cecilia Zanni-Merk
Cecilia Zanni-Merk
INSA Rouen Normandie / LITIS laboratory
Bestätigte E-Mail-Adresse bei insa-rouen.fr
Titel
Zitiert von
Zitiert von
Jahr
An ontological basis for computer aided innovation
C Zanni-Merk, D Cavallucci, F Rousselot
Computers in Industry 60 (8), 563-574, 2009
1052009
Use of formal ontologies as a foundation for inventive design studies
C Zanni-Merk, D Cavallucci, F Rousselot
Computers in Industry 62 (3), 323-336, 2011
802011
Smart condition monitoring for industry 4.0 manufacturing processes: An ontology-based approach
Q Cao, F Giustozzi, C Zanni-Merk, F de Bertrand de Beuvron, C Reich
Cybernetics and Systems 50 (2), 82-96, 2019
792019
Context modeling for industry 4.0: an ontology-based proposal
F Giustozzi, J Saunier, C Zanni-Merk
Procedia Computer Science 126, 675-684, 2018
772018
KSPMI: a knowledge-based system for predictive maintenance in industry 4.0
Q Cao, C Zanni-Merk, A Samet, C Reich, FDB De Beuvron, A Beckmann, ...
Robotics and Computer-Integrated Manufacturing 74, 102281, 2022
682022
Towards a formal definition of contradiction in inventive design
F Rousselot, C Zanni-Merk, D Cavallucci
Computers in Industry 63 (3), 231-242, 2012
672012
Initial situation analysis through problem graph
D Cavallucci, F Rousselot, C Zanni
CIRP Journal of Manufacturing Science and Technology 2 (4), 310-317, 2010
612010
Starting from patents to find inputs to the problem graph model of IDM-TRIZ
A Souili, D Cavallucci, F Rousselot, C Zanni
Procedia engineering 131, 150-161, 2015
522015
An ontology-based approach for inventive problem solving
W Yan, C Zanni-Merk, D Cavallucci, P Collet
Engineering Applications of Artificial Intelligence 27, 175-190, 2014
462014
On contradiction clouds
D Cavallucci, F Rousselot, C Zanni
Procedia Engineering 9, 368-378, 2011
442011
Ontologies for manufacturing process modeling: A survey
Q Cao, C Zanni-Merk, C Reich
International conference on sustainable design and manufacturing, 61-70, 2018
432018
Linking contradictions and laws of engineering system evolution within the TRIZ framework
D Cavallucci, F Rousselot, C Zanni
Creativity and Innovation Management 18 (2), 71-80, 2009
432009
An ontology-based approach for failure classification in predictive maintenance using fuzzy C-means and SWRL rules
Q Cao, A Samet, C Zanni-Merk, FDB De Beuvron, C Reich
Procedia Computer Science 159, 630-639, 2019
422019
Ontology population with deep learning-based NLP: a case study on the Biomolecular Network Ontology
A Ayadi, A Samet, FB de Beuvron, C Zanni-Merk
Procedia Computer Science 159, 572-581, 2019
392019
Assisting R&D activities definition through problem mapping
D Cavallucci, F Rousselot, C Zanni
CIRP Journal of Manufacturing Science and Technology 1 (3), 131-136, 2009
352009
IngeniousTRIZ: An automatic ontology-based system for solving inventive problems
W Yan, H Liu, C Zanni-Merk, D Cavallucci
Knowledge-Based Systems 75, 52-65, 2015
342015
Towards a formal model of the lean enterprise
P Masai, P Parrend, C Zanni-Merk
Procedia Computer Science 60, 226-235, 2015
332015
A conceptual framework for the analysis, classification and choice of knowledge-based diagnosis systems
C Zanni, ML Goc, C Frydman
International Journal of Knowledge-based and Intelligent Engineering Systems …, 2006
312006
Representing and selecting problems through contradictions clouds
D Cavallucci, F Rousselot, C Zanni
Computer-Aided Innovation (CAI) IFIP 20th World Computer Congress …, 2008
302008
Enhancing Deep Learning with Semantics: an application to manufacturing time series analysis
X Huang, C Zanni-Merk, B Crémilleux
Procedia Computer Science 159, 437-446, 2019
292019
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