Overview
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.
The list of topics includes (but it is not limited to):
- 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;
- Model-based and experimental assessment of data protection;
- Privacy in identity management and authentication;
- Modelling and analysis languages for representation, visualization, specification of legal obligations;
- Technical, legal, and user requirements for data protection;
- User-friendly authoring tools to edit privacy preferences;
- Technical infrastructures for privacy and security policies management;
- Technical infrastructure for supporting privacy and security policies evolution;
- Privacy and security policies conflict analysis and resolution strategies;
- Cross-relations between privacy-preserving technical solutions and legal regulations;
- Privacy aware access and usage control;
- Privacy and security policies enforcement mechanisms;
- Privacy preserving data allocation and storage;
- Software systems compliance with applicable laws and regulations;
- Heuristic for pattern identification in law text;
- Qualitative and/or quantitative analyses of consumers awareness of technical solutions for data management.
Welcome domains of application are (but may not limited to):
- Healthcare
- Telecommunication and Networks
- Cloud Computing and Web Services
- Mobile Devices
- Video Suirvellance
- Smart Grid, Smart Cities, and Smart Spaces
- Finance & Business organizations
- Public Administration
- Social Networks
Important dates:
| Submission deadline for paper: | |
| Notification of authors: | |
| Camera-ready copy due: | 18/06/2018 |
Keynote Speaker
Oscar Romero, Universitat Politècnica de Catalunya, BarcelonaTitle. Big Data Variety: On-Demand Data Integration
Abstract. As big data systems get more complex, the data variety challenge has become the driving factor in current big data projects. From a technical perspective, data variety mainly boils down to the data integration problem, which, unfortunately, is far away from being a resolved problem. Current efforts highlight the need to broaden the perspective beyond the data community and use semantic-aware formalisms, such as knowledge graphs, to tackle this problem. In this talk, we will revise the current state-of-the-art of the data variety challenge and present recent solutions to manage the problem. Short bio. Oscar Romero is a tenure-track lecturer at the Universitat Politècnica de Catalunya, Barcelona. His research interests lie in business intelligence, big data and the semantic Web. More specifically, he has been working on data warehousing, NoSQL (and any technology beyond relational databases), bridging big data management and analytics, open data platforms (mostly at the database level), recommendation systems and semantic-aware systems (based or exploiting semantic formalisms such as ontology languages or RDF). He is also interested in agile methodologies and formalisms to incorporate non-technical people in the design, maintenance and evolution of database systems.
Workshop Organizers:
- Jérôme Darmont, Université de Lyon, France
- Nadia Kabachi, Université de Lyon, France
- Ilaria Matteucci, IIT-CNR, Italy
- Marinella Petrocchi, IIT-CNR, Italy
- Angelo Spognardi, University of Rome, "La Sapienza", 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, LU
- 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, US
- Kevin McGillivray, Dept. of Private Law, University of Oslo, Norway
- Franck Ravat, Universitéde 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
- 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
Submission and Publication
Submitted papers must be written in English and must contain results that have not previously published nor concurrently submitted to a journal or conference with published proceedings. Any partial overlap with any published or concurrently submitted paper must be clearly indicated. Submissions, as pdf files, are limited to 12 pages. The selection of accepted contributions will be based on peer-review by the PC. Accepted papers will be published by Springer in “Communications in Computer and Information Science”. We plan to invite selected workshop papers for publication in a journal. Papers must be submitted electronically through EasyChair at https://easychair.org/conferences/?conf=telerise2018.
It is required that each accepted paper be presented at the workshop by one of its authors.
Authors of accepted papers are required to submit the final, camera-ready versions of their papers following the Communications in Computer and Information Science guidelines .
Accepted papers
- Francesco Ventura, Tania Cerquitelli and Francesco Giacalone. Black-box model explained through an assessment of its interpretable features.
- Francesco Di Cerbo and Slim Trabelsi. Personal Data Identification and Anonymization using Machine Learning techniques.
- Younes Abid, Abdessamad Imine and Michael Rusinowitch. Online testing of user profile resilience against inference attacks in social networks.
- Harshvardhan Jitendra Pandit, Declan O'sullivan and Dave Lewis. Personalised Privacy Policies.
Contact
For any question, please contact the telerise2018@iit.cnr.it.