Data Centered Smart Applications Workshop @ADBIS2016

August 28, 2016, 
Prague - Czech Republic

DCSA website:

  EasyChair Login for DCSA'2016:

Workshop in collaboration with 
The 20th international conference of Advanced Data Bases and Information Systems 2016

ADBIS 2016
Prague - Czech Republic, August 28-31, 2016

Massive data collections and the usage of that data for smart applications has become the key to the process for improving the efficiency, reliability, and security of a traditional application. There are many issues that should be taken into consideration as the first step: (a) Modeling, analytics and design of data and smart applications, (b) Metadata, ontologies, vocabularies perspectives, (c) Semantic web for smart applications, (d) Applications of existing technologies, etc.

The classical approach where people had to learn how equipment can be used is not appropriate anymore. Applications are only accepted if they are natural to the users. In the past, research tried participatory design based on some knowledge of the main users, their way of operating systems and their main desires and demands. This research and technology development must however be extended by tools that can be used in an intuitive way, within many different cultures, within a variety of deployment scenarios, within a group of people deploying the techniques, within different collaboration scenarios, and within different levels of attention.
Cities, regions, application will not become directly intelligent and useful.
Smart application can be based on: High quality content,
Often updated, with Minimal effort, e.g. download and processing time and space, and Ease of use. Therefore, we need applications that do not require additional training, are simple to operate, are obvious to operate, are simple for everybody, straightforward, within expectation, provide services and features, context-sensitive help, selection of wording, simple dialogues and tasks, and are simple to remember, error robust, reliable, of high quality. Applications are becoming SMART if they are Simple in any step of usage, are Motivational for any user, are Attainable for the goals the user has in mind, tend to be Rewarding since they seem to be worthwhile, right time, match efforts and needs, and Time-efficient within the limits and expectations of all members of the community of practice. This set of criteria can be considered as a lacuna of challenges that novel systems must meet.

The concept of smart applications includes various aspects such as environmental sustainability, social sustainability, regional competitiveness, natural resources management, cybersecurity, and quality of life improvement. With the massive deployment of networked smart devices and sensors, unprecedented large amounts of sensory data can be collected and processed by advanced computing paradigms which are today the enabling techniques for smart applications. For example, given historical, environmental, population and economic information, salient modelling and analytics are needed to simulate the impact of potential application development strategies, which will be critical for intelligent decision making. Analytics are indispensable for discovering the underlying structure from retrieved data in order to design the optimal policies for real time automatic control in the cyber-physical smart system. The uncertainties and security concerns in the data collected from heterogeneous resources aggravate the problem, making smart planning, operation, monitoring and control highly challenging.

To address some of those concerns if not all the 2nd International Work-shop on Data Centered Smart Applications (DCSA 2016) is proposed with the aim to provide a platform for exchanging empirical and theoretical research results about DCSA problems and solutions.

The topics of interest for this workshop include, but are not limited to:

• Theories, Methods, Techniques, Applications, and Usage of:

  • Modeling, analytics and design of data-centered SMART applications
  • System adaptation according current needs, life circumstances and culture
  • Enhancement of database technology and techniques for SMART applications
  • SMART data-intensive applications for users based on semantic web
  • Collaborative behavior management
  • Environmental, privacy and social issues of data centered SMART systems
  • User requirements and engineering life cycle for data centered SMART systems
  • User-aware supportative and intelligent systems
  • Intelligent responsive systems
  • Learning systems based on cognitive modelling and knowledge integration
  • Semantic Web content creation, annotation, and extraction
  • Use of common vocabularies for smart applications
  • Reasoning strategies for derivation of SMART systems
  • Robust and scalable knowledge management and reasoning on the Web
  • Machine learning and NLP techniques for SMART applications
  • Big data modeling and analytics for SMART systems
  • Sensor technology and sensor-data processing for support in everyday life
  • Ambient assistant living and healthy well supported aging
  • Data-intensive support for social media and crowdsourcing
  • Design and implementation of (embedded) data centered systems
  • SMART cyber-physical systems for human assistance
  • SMART electrical vehicle, SMART building and SMART home
  • SMART municipality/public services and SMART cities
  • Tourist services, museums, digital libraries and other SMART services
  • Integration of personal, virtual and physical data collections
  • Data support for SMART personal home and workspaces
  • Mobile and web-based guides

The aim of the DCSA Workshop is to bring together Computer Science and information systems experts, and more precisely Data Scientists, involved in smart applications engineering. The goal is to exchange experiences, build a state of the art of realizations and challenges and reuse and adapt solutions that have been proposed in other domains. There are no conferences focusing on the data centered smart applications, except the conferences and workshops on big data and smart cities in their own right.

Important Dates:

Deadline for paper submission: April 20th 2016

Notifications to authors: May 20th 2016

Camera-ready paper: June 12th 2016

Workshops: August 28-30th 2016

Main Conference: August 28-31st 2016


Ajantha Dahanayake (Prince Sultan University, Saudi Arabia)
Bernhard Thalheim (Christian Albrechts University, Germany)


Margita Kon-Popovska (Ss Cyril and Methodious University in Skopje, Macedonea)
Elio Masciari (Universita` della Calabria Via Pietro Bucci, Italy)
Heinrich C. Mayr (Alpen-Adria-Universität Klagenfurt)
Jari Porras (Lappeenranta University of Technology, Finland)
Henk Sol (Groningen University, The Netherlands)
Bernhard Thalheim (Christian-Albrechts University, Kiel, Germany)
Mario Pichler  (Software Competence Center, Austria)
Isabella Watteau (Conservatoire National des Arts et Métiers, and ESSC, France)
Ajantha Dahanayake (Prince Sultan University, Saudi Arabia)
Naofumi Yoshida (Komazawa University, Japan)
Antje Düsterhöft (Hochschule Wismar, Germany)
Samira Sisaid Cherfi (CEDRIC Research Laboratory Conservatoire National des Arts et Métiers (CNAM), France)
Klaus-Dieter Schewe (Software Competence Center Hagenberg GmbH, Austria)


The workshop covers three sessions of 90 minutes on a single day.

Paper submission procedures

Papers will be subject to peer review by at least three members of an international program committee.
The workshop website ( is maintained by Christian Albrechts University in Kiel, Germany and uses the EasyChair paper submission and review system.

DCSM will include papers in the CCIS proceedings published by Springer in the Communications in Computer and Information Science series. The expected length of DCSA papers are 11 pages according to the general policy. 

For each accepted paper at  least  one author will have to register for the workshop and conference in order to publish the paper in the CCIS proceedings.