The 6th Workshop on Semantics for Smarter Cities
(S4SC 2015)

collocated with the 14th International Semantic Web Conference (ISWC2015)
Bethlehem, PA, USA

October 11-12, 2015


The world's population is rapidly urbanizing. By 2005, the world's population had increased to 6.5 billion, with about 50% living in cities. By 2025, UN projections show that the world's population is expected to exceed 9 billion with roughly 75% expected to live in cities. This rapid urbanization is continuing to put tremendous pressure on traditional urban infrastructures, such as roads, water, and energy, and on societal institutions. This urbanization challenges require us to seek for new approaches that transform modern cities to comfortable, economically successful, and environmentally responsible habitats. Similarly, we are seeing the rapid rise in the connection and usage of billions of low-end and affordable smart devices to the Internet, leading to the widening of the Internet of Things, we are witnessing the Web expanding into more areas of our personal lives. These trends make possible a new generation of Semantic Smart City applications and services which increase the efficiency and effectiveness of the usage of urban resources and data sources.

Cities are increasingly realizing that opening access to their many data sources and using semantic models to provide a holistic view of these heterogeneous data can unleash economic growth, optimize cities operational and strategic goals while addressing sustainability issues. In a Semantic City, available resources are harnessed safely, sustainably and efficiently to achieve positive, measurable economic and societal outcomes. Enabling City information as a utility, through a robust (expressive, dynamic, scalable) and a sustainable technology and socially synergistic ecosystem could drive significant benefits and opportunities. Data from people, systems and things is one of the scalable resources available to city stakeholders to reach their objective of semantic cities.

This workshop will provide a venue to discuss challenges, issues and solutions to collect and integrate the physical world data and integrate in to cyber and social systems. Smart city data can be seen as Big Data; however it is not only large in volume, it is also multi-modal, varies in quality, format, representation form and levels of dynamicity. The smart city data needs to be processed, aggregated, and higher-level abstractions need to be created from the data to make it suitable for the event processing, knowledge extractions and event processing applications that enable intelligent applications and services for smart city platforms. Data needs to be integrated from various domains and the resulting knowledge exposed to various domains in a federated fashion.

Scope and Objectives

This workshop will explore the interfaces between the Web, the Web of Data, and the City Smart environment. It will further explore how the Web, and the intelligences built on top of, and around the Web, can make the notion of the Smart Connected City possible and realizable.

The workshop aims to gather researchers, city departments, service providers, application developers, entrepreneurs, and citizens to present and debate Semantic Web technologies, Linked Data and data analytics and evaluations for smart city applications as well as impact of user engagements and social networks. The workshop will also focus on related standardisation activities in W3C, IEEE and ETSI.

It continues on from the successful earlier workshops on the same theme at:

A report from the 5th Workshop on Semantics for Smarter Cities is available online.

Topics of Interest

Topics of interest include but are not limited to:

1. Semantic platforms to integrate, manage and publish government data
  • Provenance, access control and privacy-preserving issues in open data
  • Collaborative and evolving semantic models for cities. Challenges and lessons learned
  • Semantic data integration and organization in cities: social media feeds, sensor data, simulation models and Internet of things in city models
  • Big data and scaling out in semantic cities. Managing big data using knowledge representation models
  • Knowledge acquisition, evolution and maintenance of city data
  • Challenges in managing and integrating real-time and historical city data
  • Big Data in Dynamic Smart City Environments
2. Process and standards for defining, publishing and sharing open city (government) data
  • Platforms and best practices for city data interoperability
  • Foundational and applied ontologies for semantic cities
  • Publishing Public and Government Data and Open Data
3. Robust inference models for semantic cities
  • Large-scale / stream-based reasoning
  • Semantic event detection and classification
  • Spatio-temporal reasoning, analysis and visualization
  • Machine Learning and Semantics

4. City applications involving semantic models
  • Intelligent user interfaces and contextual user exploration of semantic data relating to cities
  • Use cases, including, but not limited to, transportation (traffic prediction, personal travel optimization, carpool and feet scheduling), public safety (suspicious activity detection, disaster management), healthcare (disease diagnosis and prognosis, pandemic management), water management (flood prevision, quality monitoring, fault diagnosis), food (food traceability, carbon-footprint tracking), energy (smart grid, carbon footprint tracking, electricity consumption forecasting) and buildings (energy conservation, fault detections)
5. City as a Smart Utility
  • Internet of Things
  • Interaction Paradigms in the Smart City
  • Smart City operating systems
  • Semantic Complex Event Reasoning
  • City services discovery
  • Service Ranking, Provenance, and Semantic Web Discovery
  • Sustainability issues in developing Smart City Applications
  • Impact of Smart City services and applications
  • Discovery of Data and Sensors

Submission Types and Publication

For providing a forum for sharing novel ideas, S4SC’15 welcomes a broad spectrum of contributions, including:
  • Full research papers
  • Position papers
  • Case studies
  • Descriptions of experiments
  • Evaluations

How to submit

Authors of accepted works are expected to attend the conference to present their work. The maximum length of:
  • Short papers, up to 6 pages
  • Full Research papers, up to 16 pages
  • Position papers, up to 4 pages
  • Case Studies papers, up to 16 pages
  • Demo papers, and descriptions of experiments, including evaluation reports (up to 16 pages)

Submissions to the Demo track should describe what will be demonstrated (this may include screenshots and sample script for the demo). Authors are encouraged to include a link to where the demo (live or recorded video) can be found. Authors are advised to make clear in their submission:

What is the research background and application context of the demonstration?
What are the key technologies used, and how does the demonstrated system, application or infrastructure relate to pre-existing work?
What will be the key concepts learnt by participants of the demonstration?

Submissions must be in PDF formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details of the LNCS style, see Springer’s Author Instructions.

Paper submissions to be made electronically through the EasyChair submission system at: https://easychair.org/conferences/?conf=s4sc2015

After the workshop, authors of best papers will be invited to submit an extended version of their paper to International Journal of Semantic Web and Information Systems (IJSWIS) (ISI indexed).

Important Dates (All deadlines are Hawaii time)

– full paper submission: July 1, 2015

– notification of acceptance: July 31, 2015

– submission of camera ready version: August 7, 2015

– Workshop date: October 11 or 12, 2015 (the exact date will be confirmed)


Amit Sheth
Semantics-empowered Smart City applications: today and tomorrow
Prof Amit P. Sheth, LexisNexis Ohio Eminent Scholar
Executive Director, Kno.e.sis
Wright State University

Abstract: There has been a massive growth in potentially relevant physical (sensor/IoT)- cyber (Web)- social data related to activities and operations of cities and citizens.  As part of our participation in smart city projects, including the EU-funded CityPulse project, we have analyzed a large number of of use cases with inputs from city administrations and end users, and developed a few early applications.  In this talk, I will present some exciting smart city applications possible today and venture to speculate on some future ones where Big Data technologies and semantic computing, including the use of domain knowledge, play a critical role.

Biography: Amit Sheth (http://knoesis.org/amit) is an educator, researcher, and entrepreneur.  During the 1980s and 1990s, he worked on federated databases, information integration, and workflow systems. Since the early 1990s, he has worked on semantics-empowered integration, analysis and applications of enterprise, Web, social, and sensor/IoT data as summarized in a recent book on Web 3.0. In 1999, he founded and ran a Semantic (Web) technology company that created knowledge bases/ontology empowered commercial products and services for semantic search, browsing, personalization, and advertising. His recent research themes include smart data (coined 2004), semantic sensor web (coined 2007), citizen sensing (coined 2008), and semantic perception (initiated 2010).

Prof Mark Fox The PolisGnosis Project: Enabling the Computational Analysis of City Performance
Mark S. Fox, Professor of Industrial Engineering and Computer Science
Director, Centre for Social Services Engineering
Senior Fellow, Global Cities Institute
University of Toronto

Abstract: Cities use a variety of metrics to evaluate and compare their performance.  With the introduction of ISO 37120, which contains 100 indicators for measuring a cityís quality of life and sustainability, it is now possible to consistently measure and compare cities, assuming they adhere to the standard.  The goal of this research is to develop theories, embodied in software, to perform longitudinal analysis (i.e., how and why a cityís indicators change over time) and transversal analysis (i.e., how and why cities differ from each other), in order to discover the root causes of differences. The first phase of this project focuses on the creation of standard representations of city knowledge (i.e., Vocabularies and Ontologies) that can be used to represent indicators and their supporting data and publish them on the Semantic Web. The second phase focuses on the development of consistency axioms that automate the determination of whether a city's indicators and supporting data are consistent with the ISO 37120 definitions, and whether they are longitudinally and transversally consistent. The third phase focuses on the development of diagnostic algorithms that identify the root causes of longitudinal and transversal differences. Due to the heterogeneity of the supporting data, the applicability of classical diagnostic techniques is limited. This seminar will summarize the progress to date of all three phases.

Biography:  Dr. Fox received his BSc in Computer Science from the University of Toronto in 1975 and his PhD in Computer Science from Carnegie Mellon University in 1983. In 1979 he was a founding member of the CMU Robotics Institute as well as the founding Director of the Institute's Intelligent Systems Laboratory. He co-founded Carnegie Group Inc. in 1984, a software company that specialized in Artificial Intelligence-based systems. He was Associate Professor of Computer Science and Robotics at CMU from in 1987 to 1991, In 1988 he was the founding Director of the Center for Integrated Manufacturing Decision Systems in CMU's Robotics Institute. In 1991, Dr. Fox returned to the University of Toronto where he was appointed the NSERC Research Chairholder in Enterprise Integration and Professor of Industrial Engineering and Computer Science. In 1993, Dr. Fox co-founded and was CEO of Novator Systems Ltd., a pioneer in E-Retail software and services. In 2014 he became the founding director of the Center for Social Services Engineering.

Monday 12 October 2015   
Venue: Room RBC 41

08:00-09:00 Registration,  RBC East entrance
09:00-09:30 S4SC 2015 opening
09:30-10:30 Keynote: “The PolisGnosis Project: Enabling the Computational Analysis of City Performance”, Professor Mark S. Fox, University of Toronto
10:30-11:00 Coffee Break, RBC Gallery, First Floor
Session 1
11:00-11:40  "Contextual Data Collection for Smart Cities", Henrique Santos, Vasco Furtado, Paulo Pinheiro, and Deborah L. McGuinness  
"Semantic Data Layers in Air Quality Monitoring for Smarter Cities",
Jean-Paul Calbimonte, Julien Eberle, and Karl Aberer
12:30-14:00 Lunch Break, University Center, Third Floor
14:00 - 15:30 Keynote:   "Semantics-empowered Smart City applications: today and tomorrow", Prof Amit P. Sheth, LexisNexis Ohio Eminent Scholar, Executive Director, Kno.e.sis,Wright State University
Coffee Break, RBC Gallery, First Floor
 Session 2
16:00-16:40 "A New Pluribus: Classification and Markup Topology for Civic Data". Nathaniel Christen 
"A Recommendation Engine based on Social Metrics", Ofelia Cervantes, Francisco Gutierrez, Ernesto Gutierrez, J. Alfredo Sanchez, Muhammad Rizwan, and Wan Wanggen
17:20- 17:30
Workshop Wrap-Up

Organising Committee

- Tope Omitola, University of Southampton, UK

- John Breslin, National University of Ireland, Galway, Ireland

- Payam Barnaghi, University of Surrey, UK

- Jan Holler, Ericsson, Sweden

- Biplav Srivastava, IBM Research, India

- John Davies, BT, UK


- Manfred Hauswirth, Technical University of Berlin/Fraunhofer FOKUS

- Ralf Toenjes, University of Applied Science Osnabrück, Germany

Program Committee

- Herwig Schreiner, Siemens, Austria

- Spyros Kotoulas, IBM Research, Smarter Cities Technology Centre, Dublin, Ireland

- Monika Solanki, University of Oxford, UK

- Septimiu Nechifor, Siemens, Romania

- Pramod Anantharam, Kno.e.sis, Wright State University

- Rosario Uceda-Sosa, IBM

- Mirko Presser, Alexandra Institute, Denmark

- Konstantinos Vandikas, Ericsson, Sweden

- Andreas Emrich, DFKI/University of Saarbrucken, Germany

- Alessandra Mileo, Insight Centre, National University of Ireland, Galway, Ireland

- Taha Osman, Nottingham Trent University, UK

- Sebastian Rios, University of Chile

- Jose Gomez-Perez, Expert System, Spain

- Maria Bermudez, University of Surrey, UK

- Sarah Gallacher, ICRI-Cities, UCL, UK

- Frieder Ganz, Adobe, Germany

- Mona Ghassemian, Shahid Beheshti University, Iran

For any questions please contact: p.barnaghi@surrey.ac.uk

Last updated: 30/06/2015

Important Dates
  • Full paper submission:
    July 1, 2015
    extended: July 12, 2015

  • Notification of acceptance:
    August 11, 2015

  • Submission of camera ready version:
    August 18, 2015

Paper Submission

Call for papers

Organising Committee

Keynote Speakers

Supported by

EU FP7 CityPulse Project