-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CFP: Workshop on Big Data in Smart Cities and Smart Buildings (BDSmart 2017) Datum: Sat, 8 Jul 2017 08:54:12 +0200 Von: Mouzhi Ge mouzhi.ge@mail.muni.cz An: aisworld@lists.aisnet.org
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:
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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:
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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
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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
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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&... undisplay_detail=1&wh=/cyberchair/2017/bigdata17/scripts/ws_submit.php
PUBLICATIONS
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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
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Markus Helfert, Dublin City University, Ireland
Mouzhi Ge, Masaryk University, Czech Republic
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