[AISWorld] [Deadline Extension] 6th International Workshop on Modeling and Management of Big Data (MoBiD) in conjunction with ER2017

[Jesús Peral Cortés]

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DEADLINE EXTENSION

Due to several requests, we have extended the deadline for the MoBiD 
workshop
The new submission deadline is:
** July 10th, 2017 **

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Call for Papers

Sixth International Workshop on Modeling and
Management of Big Data (MoBiD)
http://www.lucentia.es/workshop/mobid17/

In conjunction with ER2017 (The 36th International Conference on 
Conceptual Modeling), Valencia, Spain, 6-9 November, 2017.
http://er2017.pros.webs.upv.es/
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Introduction
-----------------

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. We 
view that several key themes with the Big Data trends include (i) 
managing Big Data projects to discover business values; (ii) developing 
an architecture for a Big Data environment to conceptualize goals, 
tasks, and problem-solving methods to apply to domains; (iii) exploring 
problem-solving methods for Big Data; (iv) using a cloud for managing 
large-scale external and internal data; (v) providing an easy-to-use but 
powerful services to access/manage/analyze the Big Data in the cloud; 
and (vi) exploring and improving the security and privacy of these 
repositories.

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.



Target audiences and the scope
----------------------------------------------

The scope of the workshop includes several aspects of conceptual 
modeling in data-driven paradigm, but is not limited to:

- Agile modeling for big data
- Advanced applications with Hadoop or Spark frameworks
- Application design and architecture of big data environment
- Big Data Analytics
- Data Stream Mining
- Business Process and Dependency Modeling
- Business Intelligence applications and modeling
- Conceptual modeling approaches for Big Data
- Conceptualization for data-drive paradigm
- Data-driven businesses
- Using data science approaches for novel analysis and applications
- Enterprise modeling and architectures for big data projects
- Architectures and Methodologies for Big Data Applications
- (Omni-Channel) CRM Platforms
- Data Integration in Big Data environments
- Data Integration and management for Hadoop ecosystems
- Data virtualization, ELT, or ETL for data integration
- Information packaging
- Knowledge management for big data
- Metamodeling
- Modeling and management for social network data
- Novel applications in Big Data
- Interface design and visualization for big data
- Model-driven development methodologies and approaches
- Differences to Traditional Conceptual Modeling (e.g., in a Data 
Warehouse context)
- Provenance modeling
- Requirements modeling for Web-based applications
- Security, resiliency and privacy in social networks and other big data 
environments
- Software as a Service (SaaS) modeling solutions
- Analytics for complex data
- Cloud-based analytics
- Social Media Analytics
- Sensor Analysis
- Stream and In-memory Processing
- Data mining and warehousing over the cloud
- ETL over the cloud
- Hybrid cloud
- Modeling and management in IOT domains
- Smart Cities
- Smart health
- Education for big data and data science



Workshop Chairs
-------------------------

David Gil
Dept. Computing Technology and Data Processing
University of Alicante, Spain
Email: dgil at dtic.ua.es

Thomas Bäck
Leiden University & divis intelligent solutions GmbH, The Netherlands
Email: T.H.W.Baeck at liacs.leidenuniv.nl

Nicholas Multari
Pacific Northest National Laboratory
Richland, WA 99352, U.S.A.
Email: nick.multari at pnnl.gov

Juan Trujillo
Dept. of Software and Computing Systems
University of Alicante, Spain
Email: jtrujillo at dlsi.ua.es

Heike Trautmann
ERCIS, University of Münster, Germany
Email: trautmann at wi.uni-muenster.de

Jesús Peral
Dept. of Software and Computing Systems
University of Alicante, Spain
Email: jperal at dlsi.ua.es

Gottfried Vossen
ERCIS, University of Münster, Germany
Email: g.v at wwu.de

Il-Yeol Song
College of Computing and Informatics
Drexel University, Philadelphia, USA
Email: songiy at drexel.edu



Program Committee (Will be extended/Modified)
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Yuan An (Drexel University, Philadelphia, USA)
Marie-Aude Aufaure (Ecole Centrale Paris, France)
David Bader (Georgia Tech University, USA)
Rafael Berlanga Llavori (Universitat Jaume I, Spain)
Sandro Bimonte (National Research Institute of Science and Technology 
for Environment and Agriculture, France)
Michael Blaha (Yahoo!, Inc.)
Hendrik Blockeel (KU Leuven, Belgium)
Gennaro Cordasco (Università di Salerno, Italy)
Dickson Chiu (University of Hong Kong)
Alfredo Cuzzocrea (University of Calabria, Italy)
Stuart Dillon (The University of Waikato Management School, New Zealand)
Gill Dobbie (University of Auckland , New Zealand)
Michael Emmerich (Leiden University, The Netherlands)
Jose Luis Fernández-Alemán (University of Murcia, Spain)
Johann-Christoph Freytag (Humboldt University Berlin, Germany)
Pedro Furtado (Universidade de Coimbra, Portugal)
Matteo Golfarelli (University of Bologna, Italy)
Bodo Hüsemann (Informationsfabrik GmbH, Münster, Germany)
H. V. Jagadish (University of Michigan, USA)
John R. Johnson (Pacific Northwest National Lab, USA)
Magnus Johnsson (University of Lund, Sweden)
Nectarios Koziris (National Technical University of Athens, Greece)
Karsten Kraume (arvato CRM, Germany)
Jiexun Li (Drexel University, Philadelphia, USA)
Stephen W. Liddle (Marriott School, Brigham Young University, USA)
Alexander Löser (Beuth University of Applied Sciences Berlin, Germany)
Antoni Olivè (Universitat Politècnica de Catalunya, Spain)
M. Tamer Özsu (University of Waterloo, Canada)
Jeffrey Parsons (Memorial University of Newfoundland, Newfoundland and 
Labrador, Canada.)
Oscar Pastor (Universidad Politécnica de Valencia, Spain)
Nicolas Prat (ESSEC Business School, France)
Sudha Ram (University of Arizona, USA)
Carlos Rivero (Rochester Institute of Technology, USA)
Colette Rolland (Universitè Paris, Panthèon Sorbonne, France)
Pablo Sánchez (University of Cantabria, Spain)
Dennis Shasha (New York University, NY, USA)
Meinolf Sellmann (General Electric, USA)
Keng Siau (Missouri University of Science and Technology, USA)
Alkis Simitsis (Hewlett-Packard Co, Palo Alto, California, USA)
Jeffrey Ullman (Stanford University, USA)
Alejandro Vaisman (Universidad de la República, Uruguay)
Panos Vassiliadis (University of Ioannina, Greece)



Submission Guidelines
---------------------------------

Formatting instructions
MoBiD 2017 proceedings will be part of the ER2017 Workshop volume 
published by Springer in the LNCS series. The authors must submit 
manuscripts using the Springer-Verlag LNCS style for Lecture Notes in 
Computer Science. See the page
http://www.springer.de/comp/lncs/authors.html
for style files and details. The page limit for workshop papers is 10 pages.

The organizers will oversee a peer-review process for the submitted 
papers. Manuscripts not submitted in the LNCS style or having more than 
10 pages will not be reviewed and thus automatically rejected. The 
papers need to be original and not submitted or accepted for publication 
in any other workshop, conference, or journal. Submission to MoBiD 2017 
will be electronically only.

Submission instructions
All workshop abstracts and papers should be uploaded by using the 
EasyChair system: https://www.easychair.org/conferences/?conf=mobid2017



Important Dates
-----------------------

(New) Paper submission deadline: July 10, 2017
Author notification: July 21, 2017
Camera-ready: August 4, 2017
Workshop: November 6-9, 2017