Semantic Sensor Networks and Terra Cognita (SSN-TC 2015) The wide availability of technologies such as GPS, map services and social networks, has resulted in the proliferation of geospatial data on the Web. Similarly, the amount of geospatial data extracted from the Web and published as Linked Data is increasing. Together with large volumes of machine-generated data from sensor networks and the emerging internet of things, these continually growing data have given rise to a number of innovative services and applications. Recently, the World Wide Web Consortium (W3C), which had a robust activity in Semantic Sensor Networking (SSN) through a completed working group, started a new Spatial Data on the Web Working Group (http://www.w3.org/2015/spatial/wiki/Main_Page) to develop a comprehensive recommendation in collaboration with the Open Geospatial Consortium (OGC). ISWC formerly had two workshops, one aligned with W3C SSN and another aligned with OGC's geospatial focus. Given that there will be very close collaboration with these two organizations as part of the new working group, we decided to merge the SSN and Terra Cognita workshops, which are in their 7th and 8th iterations, respectively, to form this new workshop. The purpose of SSN-TC is to provide an inter-disciplinary forum to explore and promote the technologies related to a combination of semantic web, geospatial web and sensor networking. More specifically, the goal is to develop an understanding of the ways semantic web technologies can contribute to the growth, integration and deployment of geospatial applications. In line with this goal, the proceedings of SSN-TC include a variety of papers related to semantic sensor networks and the geospatial semantic web. The proceedings include four peer-reviewed research papers and two peer-reviewed demonstration papers.
inference, without affecting the inference process, which is order-agnostic. However, we perceive a trend towards order-aware semantic technologies: both researchers and practitioners understand that order matters in reasoning over massive and highly dynamic data. The idea of Stream Reasoning is gaining considerable momentum. Some top-k query answering techniques for Linked Data appeared. Several works are considering SPARQL query answering on RDF annotated with labels partially ordered. The Description Logic community is investigating top-k ontological query answering. The OrdRing workshop (as its predecessors in 2011, 2013, and 2014) aims at bringing together this growing and very active community interested in integrating ordering with reasoning by using methods inspired by stream and rank-aware data management.
Several people made these workshops possible and deserve our gratitude. We would like to thank all the authors and workshop participants for their thoughtful and valuable contributions. The program committee members also deserve thanks for reviewing submissions and ensuring quality workshop programs. We would also like to thank the ISWC organizers, in particular Miriam Fernandez and Krzysztof Janowicz, for their support in organizing these workshops. In addition, the advisors of SSN-TC, which include Amit Sheth, Manfred Hauswirth, and Kerry Taylor, deserve special thanks for their valuable contributions during the planning and organization of SSN-TC.
Cory Henson Kostis Kyzirakos Matthew Perry
Dalia Varanka Emrooz: A Scalable Database for SSN Observations Markus Stocker, Narasinha Shurpali, Kerry Taylor, George Burba, Mauno Rönkkö, Mikko Kolehmainen Autonomous Composition and Execution of REST APIs for Smart Sensors Daniela Ventura, Ruben Verborgh, Vincenzo Catania, Erik Mannens The Schema Editor of OpenIoT for Semantic Sensor Networks Prem Prakash Jayaraman, Jean-Paul Calbimonte, Hoan Nguyen Mau Quoc ReDef: Context-aware Recognition of Interleaved Activities using OWL 2 and Defeasible Reasoning Georgios Meditskos, Efstratios Kontopoulos, Ioannis Kompatsiaris
Otakar Cerba, Tomáš Mildorf, Raitis Berzins Developing GeoSPARQL Applications with Oracle Spatial and Graph Matthew Perry, Ana Estrada, Souripriya Das, Jayanta Banerjee
Models of High-Level Declarative Stream Processing Özgür Özcep Running out of Bindings? Integrating Facts and Events in Linked Data Stream Processing Shen Gao, Thomas Scharrenbach, Jorg-Uwe Kietz, Abraham Bernstein 13 25 31 43 57 62 63 75 87 Program Committees
Kno.e.sis Center, Wright State University, OH, USA "Athena" Research and Innovation Center, Greece The Boeing Company, Chicago, IL, USA TU Dresden, Germany University of Surrey, Guildford, UK University of Huddersfield, UK University of Reading, UK Geological Survey of Canada Universidad Politécnica de Madrid, Spain University of Illinois at Chicago, USA Cismet GmbH, Saarbrücken, Germany GISLab UFSP Spur, University of Zurich, Switzerland University of Aberdeen, UK Heriot-Watt University, Edinburgh, UK Institute of Applied Informatics and Formal Description Methods (AIFB), Karlsruhe, Germany University of California, Santa Barbara, CA, USA School of Rural and Surveying Engineering, National Technical University of Athens, Greece Raytheon BBN Technologies, Washington, DC, USA National and Kapodistrian University of Athens, Greece Microsoft, Bellevue, Washington, USA University of Leipzig, Germany Institute of Information Systems, University of Lübeck, Germany Siemens AG Österreich George Mason University, Fairfax, Virginia, USA interactive instruments, Bonn, Germany University of Zürich – Irchel, Switzerland Esri R&D Center Zurich, Switzerland University of Peloponnese, Greece EURECOM, Biot, France Space Science and Engineering Center, University of Wisconsin, Madison, USA
Department of Computer Science, University of Freiburg, Germany
Giuseppe Pirrò Umberto Straccia Anni-Yasmin Turhan Maria-Ester Vidal Haofen Wang Kewen Wang Zhe Wu Shima Zahmatkesh TU Dresden, Germany University of Lugano, Switzerland Insight Centre for Data Analytics, Ireland University of Aberdeen, UK University of Koblenz-Landau, Germany ISTI-CNR, Italy TU Dresden, Germany Universidad Simón Bolívar, Venezuela East China University of Science and Technology, China Griffith University, US Oracle, US Politecnico di Milano, Italy