-------- Forwarded Message -------- Subject: [AISWorld] 1st CFP: Seventh International Workshop on Modeling and Management of Big Data (MoBiD) - collocated with ER 2018 Date: Wed, 23 May 2018 11:22:26 +0200 From: Alejandro Maté amate@dlsi.ua.es To: aisworld@lists.aisnet.org

[Apologies if you receive multiple copies of this announcement. Please pass it on to your colleagues and students who might be interested in contributing]

================================================================ Call for Papers

Seventh International Workshop on Modeling and Management of Big Data (MoBiD) http://www.lucentia.es/workshop/mobid18/

In conjunction with ER2018 (The 37th International Conference on Conceptual Modeling), Xi'an, China, 22-25 October, 2018. http://www.nwpu-bioinformatics.com/ER2018/index.php#content ================================================================

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; and (v) providing an easy-to-use but powerful services to access/manage/analyze the Big Data in the cloud.

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’18 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 and privacy, hybrid cloud, Big Data warehousing, data science topics, etc. 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 - Business Process 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 - 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 - Provenance modeling - Requirements modeling for Big Data applications - Security and privacy in social networks - Software as a Service (SaaS) modeling solutions - Analytics for complex data - Cloud-based analytics - 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 - Blockchains

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

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

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

Alejandro Maté Dept. of Software and Computing Systems University of Alicante, Spain Email: amate@dlsi.ua.es

Program Committee (Will be extended/Modified) ----------------------------------------------------------------------

Yuan An (Drexel University, Philadelphia, USA) Marie-Aude Aufaure (Ecole Centrale Paris, France) Rafael Berlanga Llavori (Universitat Jaume I, Spain) Sandro Bimonte (National Research Institute of Science and Technology for Environment and Agriculture, France) Gennaro Cordasco (Università di Salerno, Italy) Dickson Chiu (University of Hong Kong) Alfredo Cuzzocrea (University of Calabria, Italy) Gill Dobbie (University of Auckland, New Zealand) Jose Luis Fernández-Alemán (University of Murcia, Spain) Eduardo Fernández-Medina Patón (Universidad de Castilla-La Mancha, Spain) Pedro Furtado (Universidade de Coimbra, Portugal) Matteo Golfarelli (University of Bologna, Italy) H. V. Jagadish (University of Michigan, USA) Magnus Johnsson (University of Lund, Sweden) Nectarios Koziris (National Technical University of Athens, Greece) 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 Olivé (Universitat Politècnica de Catalunya, Spain) Jeffrey Parsons (Memorial University of Newfoundland, Newfoundland and Labrador, Canada.) Oscar Pastor (Universidad Politécnica de Valencia, Spain) Mario Piattini (Universidad Castilla-La Mancha, Spain) Nicolas Prat (ESSEC Business School, France) Sudha Ram (University of Arizona, USA) Carlos Rivero (University of Sevilla, Spain) Colette Rolland (Université Paris, Panthéon Sorbonne, France) Pablo Sánchez (University of Cantabria, Spain) Keng Siau (Missouri University of Science and Technology, USA) Alkis Simitsis (Hewlett-Packard Co, Palo Alto, California, USA) Alejandro Vaisman (Universidad de la República, Uruguay) Panos Vassiliadis (University of Ioannina, Greece)

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

Formatting instructions MoBiD 2018 proceedings will be part of the ER2018 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 2018 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=er2018

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

Paper submission: June 25, 2018 Author notification: July 15, 2018 Camera-ready: July 31, 2018 Workshop: October 22-25, 2018

_______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org