Big Data: general issues and modeling approaches
KeyNote
Carlo Batini, Data quality vs Big Data quality: similarities and differences
Accepted Papers
Fabio Porto, Ana Maria de C. Moura, Bernardo Gonçalves, Ramon Costa and Stefano Spaccapietra, A Scientific Hypothesis Conceptual Model
Alejandro Maté, Héctor Llorens and Elisa De Gregorio, An integrated multidimensional modeling approach to access Big Data in Business Intelligence platforms
Carlo Batini, Data quality vs Big Data quality: similarities and differences
Accepted Papers
Fabio Porto, Ana Maria de C. Moura, Bernardo Gonçalves, Ramon Costa and Stefano Spaccapietra, A Scientific Hypothesis Conceptual Model
Alejandro Maté, Héctor Llorens and Elisa De Gregorio, An integrated multidimensional modeling approach to access Big Data in Business Intelligence platforms
Ontologies and Conceptual Models
Invited Paper
Salmin Sultana and Elisa Bertino, A Comprehensive Model for Provenance
Accepted Papers
Carlos R. Rivero, Inma Hernández, David Ruiz, and Rafael Corchuelo, Towards Discovering Ontological Models from Big RDF Data
Krzysztof Wnuk, Markus Borg and Saïd Assar, Towards scalable information modeling of requirements architectures
Salmin Sultana and Elisa Bertino, A Comprehensive Model for Provenance
Accepted Papers
Carlos R. Rivero, Inma Hernández, David Ruiz, and Rafael Corchuelo, Towards Discovering Ontological Models from Big RDF Data
Krzysztof Wnuk, Markus Borg and Saïd Assar, Towards scalable information modeling of requirements architectures

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