MoBiD 2017 The sixth International Workshop on Modeling and Management of Big Data


Enormous amounts of data are already present and still rapidly growing due to data sources such as sensors and social networks. There has been an increasing interest in incorporating these huge amounts of external and unstructured data, normally referred to as “Big Data”, into traditional applications. This necessity has made that traditional database systems and processing need to evolve and accommodate them.

Therefore, this new era of Big Data and cloud environment requires conceptualization and methods to effectively manage Big Data and accomplish intended business goals. Thus, the objective of MoBiD’ 17 is to be an international forum for exchanging ideas on the latest and best proposals for modeling and managing Big Data in this new data-driven paradigm. Papers focusing on novel applications and using conceptual modeling approaches for any aspects of Big Data such as Hadoop and its ecosystems, Big Data Analytics, social networking, security/cyber resilience/privacy, hybrid cloud, Big Data warehousing, data science topics, and industry-specific challenges that arise in Big Data scenarios (e.g. in Customer Relationship Management), and how to approach them from a modelling as well as from an implementation perspective are highly encouraged. The workshop will be a forum for researchers and practitioners who are interested in the different facets related to the use of the conceptual modeling approaches for the development of next generation applications based on Big Data.


  • Session I

    KeyNote - Quality in Big Data 

    Jorge Merino

  • Session I

    Stream Clustering of Chat Messages with Applications to Twitch Streams

    Matthias Carnein, Dennis Assenmacher and Heike Trautmann

  • Session II

    A Four V's Design Approach of NoSQL Graph Databases

    Jacky Akoka, Isabelle Comyn-Wattiau and Nicolas Prat

  • Session II

    Goal-Based Selection of Visual Representations for Big Data Analytics

    Matteo Golfarelli, Tommaso Pirini and Stefano Rizzi

  • Session II

    Towards Efficient and Informative Omni-Channel Customer Relationship Management

    Matthias Carnein, Markus Heuchert, Leschek Homann, Heike Trautmann, Gottfried Vossen, Jörg Becker and Karsten Kraume

Workshop Co-chairs

David Gil, University of Aliacnte, Spain

Juan Trujillo, Department of Software and Computing Systems, University of Alicante, Spain

Gottfried Vossen, ERCIS, University of Münster, Germany

Thomas Bäck, Leiden University & divis intelligent solutions GmbH, The Netherlands

Heike Trautmann, ERCIS, University of Münster, Germany

Nicholas Multari, Pacific Northest Narional Laboratory, USA

Jesús Peral, Department of Software and Computing Systems, University of Alicante, Spain

Il-Yeol Song, College of Computing and Informatics, Drexel University, U.S.A.