The 6th Workshop on Semantics for
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 ObjectivesThis 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:
1. Semantic platforms to integrate, manage and publish government data
4. City applications involving semantic models
Submission Types and PublicationFor providing a forum for sharing novel ideas, S4SC’15 welcomes a broad spectrum of contributions, including:
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)
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 2015Venue: Room RBC 41
- 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
- Ralf Toenjes, University of Applied Science Osnabrück, Germany
- 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: email@example.com
Last updated: 30/06/2015
Call for papers