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ESWC 2016 Special Track on Smart Cities, Urban and Geospatial Data

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ESWC is one of the key academic conferences to present research results and new developments in the area of the Semantic Web. For its 13th edition, ESWC will be back in Hersonissou, Crete, between Sunday May 29th and Thursday June 2nd 2016.

This time, ESWC will feature a special track on smart cities, urban and geospatial data:

Track Description

More than half of the world’s population is already living in urban areas today. UN projections show that this proportion will grow to 66% by 2050, adding another 2.5 billion people to our cities. Geospatial data provided by sensor networks, different remote sensing technologies, citizen scientists, social networks, as well as Open Data initiatives helps cities address these challenges and transform into smart cities.

However, in such a diversity of information, it is a fact that large amounts of valuable open data and sensor information remain unused, and aggregation of information from various sources is typically limited to specific application domains, with organizations and cities reaping the benefits often only after extensive investments. With the very most of the world’s information today still handled in siloes, there is an enormous potential for better information management, search, discovery and reuse of heterogeneous urban data using Semantic Technologies, in order to make cities more intelligent, innovative and integrated beyond the boundaries of isolated applications.

In this track, we invite submissions that address the use of Semantic Web technologies in the context of this transformation process. Submissions to this track should contain original, unpublished research that shows how urban and smart city applications can benefit from Semantic Web technologies. Authors are strongly encouraged to include concrete application examples, ideally using real data, in their papers. Papers in this track will be evaluated on the basis of the impact of semantic technologies in the society and the extent to which they address real-life problems in the context of cities. Papers are also expected to evaluate or provide a deeper insight on the significant advantages of a semantic solution over state of the art, common practitioner no semantic solutions.

Topics

  • Semantic integration and processing of remotely sensed data and data from in-situ sensors
    Semantic models for spatial-temporal change
  • The city as an API
  • Semantics of urban sensor networks
  • Semantic integration of distributed urban data
  • Semantic analysis of data streams
  • Semantic Web applications addressing urban topics such as transport, energy, building, safety, water, food, waste, or emissions
  • Semantics for citizen-centric Smart cities
  • Application of semantic technologies, sensors and semantic streams for e-Health, Life Sciences, e-Government, Environmental Monitoring, Cultural Heritage, Utility Services or Social Sensing
  • Intelligent User Interfaces and Interaction Paradigms that profit from semantics and knowledge graphs over Web Data, open government and corporate data relating to cities
  • Context- and location-aware (mobile) applications based on semantic technologies and geo-semantics
  • Provenance, access control, trust and privacy-preserving issues in smart cities
  • Semantic-based cloud applications for Smart Cities
  • Semantic reasoning, event detection, knowledge extraction and analytics for smart city platforms
  • Big data and scaling out in semantic cities. Managing real time and historical city data using knowledge representation models
  • Semantic platforms, knowledge acquisition, publishing, consumption, evolution and maintenance of city data

Deadlines

All deadlines are at 23:59 Hawaii Time.

Compulsory abstract submission for all papers: Friday 11th December 2015
Compulsory full paper submission: Friday 18th December 2015
Authors rebuttal: Friday 29th Jan – Friday 5th Feb 2016
Acceptance notification: Monday 22nd February 2016
Camera ready: Monday 7th of March 2016

Track Chairs

Carsten Kessler, Hunter College, City University of New York
Vanessa Lopez, IBM Research Ireland

Still open: Fully funded PhD Student Position in Linked Data for eScience Services (LIFE) Project

Linked Data for eScience Services (LIFE) is a two-year project funded by the German Research Foundation, jointly carried out by the Semantic Interoperability Lab (MUSIL) at Institute for Geoinformatics (http://ifgi.uni-muenster.de) and the University Library (http://ulb.uni-muenster.de) at University of Münster.

The overall goal of LIFE is to facilitate sharing of research data and thus improve interdisciplinary collaboration in science and education. The approach addresses all kinds of resources, ranging from articles and books through maps to raw data. The Linked Data approach will be used as a basis for the university library’s eScience services to seamlessly integrate their offerings into both the scientific and the global information infrastructure. These eScience services will enable researchers and students to systematically navigate the dynamic and heterogeneous global network of research data, exploiting spatio-temporal information for discovery and creating views meeting their information needs. LIFE is a research activity in the Linked Open Data University of Münster (LODUM, http://lodum.de) initiative that fosters exchanging scientific and educational data as Linked Data.

The Institute for Geoinformatics is looking for highly motivated candidates to fill a PhD student position in the project. The position is fully funded for two years at the TVL salary scale (TVL-E 13, ~40k € p.a. gross). The candidate is expected to join the graduate school for geoinformatics.

Application profile:

  • strong background in at least one of the following areas:
    • semantic web technologies / linked data
    • science 2.0 / open science
    • geographic information science (geoinformatics)
  • programming experience, especially in web development on an open source stack
  • interest in research challenges in the area of semantic interoperability and data integration
  • Master or Diploma in computer science, information science, geoinformatics, or a related field
  • German language skills are an asset, but not required initially.

The Institute for Geoinformatics offers an attractive, international and English-speaking work environment. Applications should be sent to Prof. Dr. Werner Kuhn (kuhn@uni-muenster.de) in a single PDF file. Applications from women are encouraged and will be favored in case of equal qualification, competence and specific achievements. Preference will be given to disabled applicants in case of equivalent qualification.

The application process remains open until December 15, 2012 or until the position is filled.

Linked Data for eScience Services (LIFE) project: 2 Positions in Geoinformatics at Post-Doc/PhD Student Level

Linked Data for eScience Services (LIFE) is a two-year project funded by the German Research Foundation, jointly carried out by the Semantic Interoperability Lab (MUSIL) at Institute for Geoinformatics and the University Library at University of Münster.

The overall goal of LIFE is to facilitate sharing of spatio-temporal information and thus improve interdisciplinary collaboration in science and education. The approach addresses all kinds of resources, ranging from articles and books through maps to raw data. The Linked Data approach will be used as a basis for the university library’s eScience services to seamlessly integrate their offerings into both the scientific and the global information infrastructure. These eScience services will enable researchers and students to systematically navigate the dynamic and heterogeneous global network of spatio- temporal information (discovery) and to create the relevant views (access) meeting their information needs. LIFE is a research activity in the Linked Open Data University of Münster (LODUM) initiative that fosters exchanging scientific and educational data as Linked Data.

The Institute for Geoinformatics is looking for highly motivated candidates to fill one position at the post-doc level and one at the PhD student level. Both positions are fully funded for two years, starting in January 2013. Salary levels are at the TVL salary scale (TVL-E 13 for the PhD student, ~40k EURO p.a. gross, and TVL-E 14 for the post-doc, ~45k EURO p.a. gross, commensurate with experience). The candidate filling the PhD student position is expected to join the graduate school for geoinformatics. The LIFE team will be completed by up to four student assistants.

Application profile for both openings:

  • strong background in at least one of the following areas:
    • geographic information science
    • semantic web technologies / linked data o science 2.0 / open science
  • programming experience, especially in web development on an open source stack
  • interest in research challenges in the area of semantic interoperability and data integration

Applications should be sent to Prof. Dr. Werner Kuhn (kuhn@uni-muenster.de) in a single PDF file. Applications from women are encouraged and will be favored in case of equal qualification, competence and specific achievements. Preference will be given to disabled applicants in case of equivalent qualification.

The application process remains open until October 15, 2012 or until the positions are filled.