[AISWorld] CFP: Workshop on Big Data in Smart Cities and Smart Buildings (BDSmart 2017)

[Mouzhi]

International Workshop on Big Data in Smart Cities and Smart Buildings
(BDSmart 2017) 

December 11-14, 2017 - Boston, USA

 

In conjunction with the IEEE International Conference on Big Data 2017

http://bdsmart.computing.dcu.ie/

Paper Submission deadline: September 22, 2017

 

 

SCOPE:

===========================

Smart Cities generate an immense amount of data that if analyzed, can
provide deep insights into behaviour of citizens and many aspects of our
society. Generally smart cities are characterised as an innovative city that
uses ICT to improve citizens¡¯ quality of life and efficiency within cities.
Obviously data is key for promoting economic growth, quality of life and
develop strategies for the city. Smart Buildings have emerged as an
important cornerstone in Smart Cities to achieve these aims. They can act as
an important source for vast amount of data and are key for efficiency
improvements related to energy, mobility and operation. In Smart Cities and
Smart Buildings, people are dealing with a tremendous amount of data.

 

These environments can be classed as Big Data environments in which data
sets increase in size, complexity and velocity. The data is fast moving and
change, and can be originated from various sources such as social networks,
unstructured data from different devices or raw feeds from building sensors.
They challenge traditional data management approaches and tools, concerning
performance, integration and analytics. However, one of a key challenge is
the huge number of data quality problems that can be time-consuming to solve
or even lead to incorrect data analytics. Despite the importance of data
quality for modern businesses, current research on Big Data quality is
limited. It is particularly limited knowledge exist on how to apply
traditional data management approaches and data quality models to Big Data
within Smart Cities and Smart Buildings. Therefore, this workshop aims to
discuss Big data in Smart Cities and Smart Buildings, and particular focuses
on the Big Data quality research from several perspectives.

 

With this workshop we view Big Data as a crucial asset that creates value
within Smart Cities, and thus needs to be managed accordingly for optimal
business value. We aim to provide a platform for discussing approaches,
models, results and case studies or experience reports addressing a broad
range of issues related to Big Data in Smart Cities and Smart Buildings.
Although this workshop can only provide a first platform for discussions and
propositions, it can build a foundation for further empirical research to
understand Big Data quality and its implications for Smart Cities and Smart
Buildings. Papers can include and discuss various research methods and can
be based on case studies, quantitative and quantitative methods, design
science as well as experimental and simulation. In addition, practical
oriented research and experience reports are encouraged.

 

 

Topics of Interest:

===========================

Topics of interest include, but are not limited to:

 

- Foundation and Technologies for Smart Cities and Smart Buildings

              Big Data in Smart Cities

              Big Data and Smart Buildings

              Big Data Value Chains in Smart City

              Big Data and IoT related to Smart Cities

              Data Lake concepts in Smart Cities

              IoT and Smart Buildings

              IoT Architectures for Smart Buildings and Smart Cities

 

- Analytics in Smart Cities and Smart Buildings

              Big Data analytics for Smart Cities

              Analytics for Smart Buildings

              Energy Analytics and Smart Buildings

              Visualisation Approaches

              Data Mining Technologies

- Data Management in Smart Cities and Smart Buildings

              Big Data Quality Management

              Master Data Management in Smart City

              Data Integration for Big Data

              Security and Privacy in Smart Cities and Smart Buildings

- Value, Services and Applications for Smart Cities and Smart Buildings

              Value Co-Creation in Smart Cities and Smart Buildings

              Big Data applications in Smart Buildings

              Standard Development related to Smart Cities and Smart
Buildings

              Service Development and Quality

              Case studies and Use cases in Smart Buildings and Smart Cities

 

 

IMPORTANT DATES

===========================

Due date for full workshop papers submission:   Sep 22, 2017

Notification of paper acceptance to authors:       Nov 1, 2017

Camera-ready of accepted papers:          Nov 15, 2017

Workshop date:              Dec 11-14 2017

 

 

PAPER SUBMISSION

===========================

Prospective authors are invited to submit papers in any of the topics listed
above. Please submit a full-length paper (up to 10 page IEEE 2-column
format) or short paper (up to 6 page IEEE 2-column format) through the
online submission system:
https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submit.php?subarea=S24
<https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submit.php?subarea=S24
&undisplay_detail=1&wh=/cyberchair/2017/bigdata17/scripts/ws_submit.php>
&undisplay_detail=1&wh=/cyberchair/2017/bigdata17/scripts/ws_submit.php

 

 

PUBLICATIONS

===========================

At least one author of each accepted paper is required to attend the
workshop and present the paper. All the accepted papers by the workshop will
be included in the Proceedings of the IEEE Big Data 2017 Conference (IEEE
BigData 2017) which will be published by IEEE Computer Society.

 

 

WORKSHOP CO-CHAIRS

===========================

Markus Helfert, Dublin City University, Ireland

Mouzhi Ge, Masaryk University, Czech Republic