DAMASCA: DAta Mining And Smart Cities Applications Workshop 2016

About

In today’s urbanizing world, cities have not only physical infrastructures, such as road networks, utilities, or buildings, but also comprise a knowledge infrastructure ranging from lowlevel sensor networks to public databases and social media streams. The data emerging from all those sources is a very precious resource to make cities more intelligent, innovative and integrated beyond the boundaries of isolated applications. Although such “big data” has been popularised in the media as the “new currency", fuelling a future vision of contextual systems that will transform our cities, the reality is that we just began to recognise significant research challenges across a spectrum of topics (that must be addressed to realise the vision: information retrieval, knowledge representation, semantic reasoning, data mining and many others). In fact, if we cannot find the ways to harvest the city data and to transform it into tangible insights, our vision of offering innovative solutions to the realworld problems of the cities will not go beyond an expressed wish.

This workshop addresses such a timely issue to turn the city data into insightful information. It covers a broad range of topics rooting from different scientific fields, in order to enable novel research to mine important patterns from city data and to apply them in various emerging application areas, such as smart mobility/transportation, smart tourism or smart participation. Those application areas pose unique challenges giving the opportunity to researchers in different communities, including database, knowledge management and information retrieval, to discuss the emerging research topic of pattern mining in smart cities, identifying its unique challenges, opportunities and future directions.

Damasca 2016 will be held together with the Energy Data Management (EnDM) Workshop 2016 as a joint, full-day event with shared keynote and panel, as well as coordinated paper selection and program.

Objectives

The workshop aims at providing a forum to discuss challenges and opportunities of pattern mining in smart cities and to promote interaction among experts in that area. In this regard, one of the main objectives includes the positioning of the importance of pattern mining in the context of cities among the other types of data mining and analytics, by identifying the unique characteristics and requirements of city data (e.g. heterogeneity, openness, geospatiality, privacy issues, etc.). Another objective is also to show how the particular challenges of cities (e.g. urban planning, resource optimization, emergency evacuation, transportation planning) can be better addressed by exploiting the knowledge extracted from the vast amount of city data. Then, drawing a parallel between the topics of this workshop and the topics of the major tracks of EDBT will be a third objective of the workshop. The main outcome will be to produce a roadmap and a community of researchers interested in this topic in order to guide further developments and technological progress towards smarter cities.

Topics of Interest

In order to better address the challenges in enabling insightful information in a heterogeneous city environment, we welcome topics grouped in three categories: The first category addresses the specific techniques in different areas of data mining and analytics that enable the discovery of patterns from heterogeneous city data. In the second category, we will focus on innovative techniques for using discovered patterns to enable missioncritical information to various city stakeholders via a seamless information access. Finally, the workshop aims to discuss the usage of the various techniques in particular application scenarios with the aim of revealing specific challenges of each application area. This workshop targets (but is not limited to) the following topics, grouped into these three categories:

Data mining and analytics

• Data mining for smart cities
• Mining citywide streams
• Geospatial analysis of city data
• Text mining, opinion mining and sentiment analysis on city data
• Social network analysis
• Clustering, classification, and summarization of city data
• Predictive analysis for optimization of city infrastructure and city resiliency
• Mobile data mining
• Warehousing heterogeneous city data
• Environmental data mining

Information Access

• Complex Event Processing for Smarter Cities
• Anomaly detection and prevention
• Forecasting city events
• Eventbased optimization for adaptive city operations
• City process monitoring
• Cloud Computing for pattern mining in smart cities
• Modeling and simulation of city infrastructure

Application Scenarios

• Smart mobility and transportation
• Smart tourism
• Smart participation
• Smart environment
• Smart energy
• Smart water
• Smart Locationbased services
• Smart emergency management

Organizers

• Mirco Nanni, KDDLab CNR Pisa, Italy
• Roberto Trasarti, KDDLab CNR Pisa, Italy
• Michele Berlingerio, IBM Research - Smarter Cities Technology Centre, Dublin, Ireland
• Veli Bicer, Core Media, Dublin, Ireland

Program Committee Chairs

An important aspect of this workshop is the fact that it involves partners of several different EU FP7 and H2020 projects on Smart Cities. That is realized by a Program Committee organization where the Chairs are project coordinators:

• Sebastiaan Meijer (KTH, Sweden), Coordinator of PETRA project (http://www.petraproject.eu/)
• Silke Cuno (Fraunhofer, Germany), Coordinator of STREETLIFE project (http://www.streetlife-project.eu)
• Marco Boero (Softeco Sismat, Italy), Coordinator of MyWay project (http://www.myway-project.eu)
• Stefan Schulte (Vienna University of Technology, Austria), Coordinator of SimplyCity (http://www.simplycity.eu)

Preliminary Program Committee

• Gennady Andrienko (UCL)
• Mirco Musolesi (University of Birmingham)
• Adi Botea (IBM)
• Andrea Passarella (IITCNR)
• Dino Pedreschi (University of Pisa)
• Raffaele Perego (ISTICNR)
• Fabio Pinelli (IBM Research Dublin)
• Salvatore Rinzivillo (ISTICNR)
• Zbigniew Smoreda (Orange)
• Philip Yu (UIC)
• Gunnar Flötteröd (KTH)
• Rein Ahas (Tartu University)
• Fabrizio Antonelli (Telecom)
• Christos Faloutsos (CMU)
• Aristides Gionis (Aalto Univeristy)
• Davy Janssens (Hasselt University)
• Stan Matwin (Dalhousie University)
• Nuria Oliver (Telefonica I+D)
• Daniel Schulz (IAIS, FRAUNHOFER)
• Monica Wachowicz (UNB)

Submission and Proceedings

For submissions, the following rules apply:

• Full technical papers: up to 5 pages
• Short position or demo papers: up to 2 pages

Papers must be formatted according to the conference camera-ready format using the ACM proceedings double-column format. They must be submitted as PDF documents. Templates to prepare your submission can be found on the ACM SIG Proceedings templates website here. It is not permissible to change the template's font size, margins, intercolumn spacing, or line spacing. Templates are available in Word and LaTeX (version 2e). For the LaTeX formats, you may use either the standard style or the SIG-alternate style. Accepted papers will be presented at the workshop and published jointly with the conference proceedings. We will pursue a journal special issue with the topics of the workshop if we receive an appropriate number of high-quality submissions. Details on the proceedings and camera-ready formatting will be announced upon notification of the authors. Please use the following link to the submission system to submit your paper at Easychair Submission System for DAMASCA

Contact

The organization committee can be reached using the contact information above.