BigDataMAPS seeks to promote novel contributions in the field of big data processing and management, big data analytics and big data privacy and security. The aim of this workshop is to become a regular, interdisciplinary exchange forum for researchers and practitioners interested in big data as a research object. By exchanging research results, experiences, and products, the ultimate goal is to conceive new trends and ideas on designing, implementing and evaluating solutions for efficient, safe, reliable and compliant information sharing, with an eye to the cross-relations between ICT and regulatory aspects of data management.

Information sharing is essential for today's business and societal transactions. Nevertheless, such a sharing should not violate the security and privacy requirements either dictated by Law to protect data subjects or by internal regulations, which can be provided both at the organization and at the individual level. An effectual, rapid, and unfailing electronic data sharing among different parties, while protecting legitimate rights on these data, is a key issue with several shades. Among them, how to translate the high-level law obligations, business constraints, and users' requirements into system-level security and privacy policies, and how to engineer efficient and practical technical solutions for policy definition and enforcement.

Topics of interest for this workshop include but are not limited to the following, and should not be limited to an IT perspective: Anonymity in the cloud; Applied cryptography in the cloud; Agent-based modeling and simulation; Big data integration; Big data mining; Big data modeling; Big data quality; Big data semantics; Big data storage strategies; Big data warehousing and OLAP; Cloud architectures; Crowdsourcing and collaborative analyses; Complex (semi-structured, stream, textual, graph, multimedia, open, linked...) data; Data availability, integrity, privacy, reliability... in the cloud; Data lakes; Dataviz; Energy-efficient computing; Distributed and/or parallel processing and computing environments; Machine learning, deep learning; Metadata management; NoSQL and NewSQL databases; On-demand analytics; Performance optimization and benchmarks; Real-time analytics; Scalability; Smart Cloud. Moreover, applications may lie in the fields of Digital humanities, Healthcare, Manufacturing, Smart cities, Agriculture, Bioinformatics, Supply chain management, Customer relationship management, Social media, Internet of things, Recommender systems, Alert systems, Mobile applications, etc.


September 2, 2018


U. Bub, A. Dahanayake, J. Darmont, C. Diamantini, F. Fassetti, E. Ferme, N. Kabachi, I. Matteucci, B. Molnar, S. Navathe, E. Oro, M. Petrocchi, S. Rombo, M. Ruffolo, A. Spognardi, B. Thalheim, D. Ursino, Eds., Contributions from ADBIS 2018 Workshops, in New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, August 2018, Communications in Computer and Information Science, Vol. 909, Springer, Heidelberg, Germany (91-102).

Online proceedings


Workshop Co-chairs

  • Jérôme Darmont, Université de Lyon, Lyon 2, ERIC EA3083, France
  • Nadia Kabachi, Université de Lyon, Lyon 1, ERIC EA3083, France
  • Ilaria Matteucci, Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy
  • Marinella Petrocchi, Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy
  • Angelo Spognardi, Dipartimento di Informatica, Sapienza Università di Roma, Roma, Italy

Program Committee

  • Alberto Abello, Universitat Politenica de Catalunya, Barcelona, Spain
  • Abdelkader Adla, University of Oran, Algeria
  • Varunya Attasena, Kasetsart University, Thailand
  • Antonio Badia, University of Louisville, USA
  • Nadjia Benblidia, Université Saad Dahlab de Blida, Algeria
  • Fatma Bouali, Université Lille 2, France
  • Kamel Boukhalfa, USTHB University, Algeria
  • Arnaud Castelltort, Université de Montpellier, France
  • Gianpiero Costantino, IIT-CNR, Italy
  • Vittoria Cozza, University of Padova, Italy
  • Karen Davis, Miami University, Oxford, USA
  • Francesco Di Cerbo, SAP Labs, France
  • Ioanna Dionysiou, University of Nicosia, Cyprus
  • Nicola Dragoni, DTU Compute, Denmark
  • Carmen Fernandez Gago, University of Malaga, Spain
  • Matteo Golfarelli, University of Bologna, Italy
  • Anastasios Gounaris, Aristotle University of Thessaloniki, Greece
  • Le Gruenwald, University of Oklahoma, USA
  • Abdelkader Hameurlain, Université de Toulouse, France
  • Sorren Hanvey, Lero - The Irish Software Research Centre, Limerick, Ireland
  • Jens Jensen, STFC, UK
  • Hedi Karray, INP-ENIT, France
  • Okba Kazar, University of Biskra, Algeria
  • Daniel Lemire, Université du Québec, Montréal, Canada
  • Gabriele Lenzini, University of Luxembourg, Luxembourg
  • Flavio Lombardi, IAC-CNR, Italy
  • Erisa Karafili, Imperial College London, UK
  • Mirko Manea, Hewlett Packard Enterprise, Italy
  • Patrick Marcel, Université de Tours, France
  • Aaron Massey, University of Maryland, Baltimore County, USA
  • Jose-Norberto Mazon, University of Alicante, Spain
  • Kevin McGillivray, Dept. of Private Law, University of Oslo, Norway
  • Franck Ravat, Université de Toulouse, France
  • Abdelmounaam Rezgui, New Mexico Tech, USA
  • Prasan Kumar Sahoo, Chang Gung University, Taiwan
  • Andrea Saracino, IIT-CNR, Italy
  • Daniele Sgandurra, Royal Holloway, University of London, UK
  • Alkis Simitsis, HP Labs, USA
  • Jatinder Singh, Computer Laboratory, University of Cambridge, UK
  • Somayeh Sobati Moghadam, Hakim Sabzevari University, Iran
  • Claudio Soriente, NEC Laboratories Europe
  • Debora Stella, Bird & Bird, Italy
  • Won-Kyung Sung, KISTI, South Korea
  • Slim Trabelsi, SAP Labs, France
  • Panos Vassiliadis, University of Ioannina, Greece
  • Robert Wrembel, Poznan University of Technology, Poland
  • Mahdi Zargayouna, IFSTTAR, France


If you have any question or information request about the BigDataMAPS workshop, please send an email to bdmaps __AT__ eric.univ-lyon2.fr.