3M4city Workshop : Modelling, Mining, Managing smart city data flows




3M4city Workshop : Modelling, Mining, Managing smart city data flows

In conjunction with WIMS’14: 4th International Conference on Web Intelligence, Mining and Semantics, 

Thessaloniki, Greece, 2-4 June 2014


Workshop Objective


3M4city Workshop main objective is to promote Smart City research results in the context of Modelling, Mining, Managing data flows. As part of the WIMS 2014 conference, this workshop is dedicated to open discussions about the most important issues today in terms of smart cities methodologies, implementations and practices.


The aim of this workshop is to illustrate the theoretical context, the existing state and current issues and trends, accompanied by innovative and forthcoming developments (norms, policies, and standards) in smart city domain, mainly with regard to other city data flows (such as social networks, open data, etc). More specifically, it will not just examine smart city domain, but it will integrate activities (such as social networking and innovative city solutions) towards adding value and beneficial impact to the smart city domain. Theoretical concepts and modelling, empirical evidence and selected case studies from leading scholars and practitioners in the field showing the “big picture” of smart cities will be examined in this workshop.


This workshop aims at gathering researchers from the fields of smart cities, social computing, machine learning, and data mining to think about the obstacles that hurdle the leveraging of understanding and capturing of smart city trends with regard the social network dynamics.


We target researchers from both industry and academia to join forces in this exciting area. We intend to discuss the recent and significant developments in the general areas of smart cities and social network dynamics and to promote cross-fertilization of techniques. In particular, we aim at identifying trends and respective applications in smart cities; the potential impact of smart city in social networking; techniques from the data mining and machine learning fields that will enable researchers to understand the dynamic phenomena in smart cities, social networks and social media, as well as specify important directions for the research communities. Understanding, capturing, mining and being able to predict dynamic behaviors in smart cities is interesting for several areas such as sustainability, crisis management, marketing, security, and Web search. To address the above mentioned aspects, we solicit the following topics (but not limited to):


· Theoretical foundations on Smart Cities;

· Smart City’s management and success and the role of social networks;

· Social networks’ utilization for innovative solutions’ extraction is Smart Cities;

· Creative partnerships and creative industries in Smart City: the role of open data and social networks;

· Standardization issues in Smart Cities and the respective role of web intelligence and social networks;

· Social networks’ role in collaboration on Smart City emerging topics (i.e., energy, transportation, safety etc.)

· The roles of Government’s in Smart Cities (i.e., promotion push);

· Community extraction, analysis, and evolution;

· Detection of (potentially evolving) local needs;

· Smart City e-service evaluation and benchmarking via social networks;

· Smart growth chances’ detection;

· Smart City e-service execution in social networks;

· Smart City e-service adoption and the role of social media;

· Social media recommendations;

· Smart City information quality and evolution in social content;

· Ensuring security and privacy in Smart Cities: the role of social networks;

· Smart City social network living labs and exemplars.




We welcome full research papers, research in progress, and discussion papers. Full papers should be max 5000 words. Discussion papers may be short, just a few pages, but should clearly and distinctly address one or more issues pertinent to Smart City research including research methods and quality as well as focus of studies. Papers should be designed to support in-depth discussions of one of these issues during the workshop. The workshop papers will be clustered and each session will discuss a small set of papers focusing on similar or related issues.


Each submission will be reviewed by the workshop co-chairs and at least one external reviewer. The accepted submissions will be published in WIMS 2014 conference’s proceedings (ACM International Conference Proceedings Series (ICPS)). More details regarding WIMS2014 conference can be found on http://wims14.csd.auth.gr/



Please submit your papers (in .doc/docx or .pdf format) to: lanthopo@teilar.gr


Details of the programme will be made available online.


Important Dates


Submissions due: February 10th, 2014

Extended Submissions due: March 3, 2014

Notification of Acceptance: March 1st, 2014 March 31, 2014

Workshop authors’ registration and camera-ready papers: March 15th, 2014 April 11, 2014


For any questions, please contact: the Workshop chairs:


Athena Vakali, Associate Professor, Department of Informatics, Aristotle University of Thessaloniki, Greece, avakali@csd.auth.gr


Leonidas Anthopoulos, Assistant Professor, School of Business and Economics, TEI of Thessaly, Greece, lanthopo@teilar.gr


Program Committee Members (tentative)



Salima Benbernou, Université Paris Descartes, France

Marios Dikaiakos, University of Cyprus, Cyprus

Dimitrios Katsaros, University of Thessaly, Greece

Srdjan Krco, Ericsson/ Univ. of Belgrade, Serbia

Fang Li, Shanghai Jiaotong University, China

Ernestina Menasalvas, Universidad Politécnica de Madrid, Spain

Luis Muñoz,University of Cantabria, Spain

George Pallis, University of Cyprus, Cyprus

Myra Spiliopoulou, University of Magdeburg, Germany

Arthur Riel, The World Bank, Washington, U.S.A.

Marijn Janssen, Delft University of Technology, the Netherlands

Christopher G. Reddick, The University of Texas at San Antonio, U.S.A.

Markus Rittenbruch, Queensland University of Technology, Australia

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