Stream Reasoning (SR 2016) The continuous growth of volume, velocity and variety of data poses new challenges for their processing, especially when it has to be done in real-time or near-real time. It happens in many scenarios, such as IoT, social media analytics and smart cities: highly dynamic flows of heterogeneous data, supplied by different actors, have to be integrated and processed to create new knowledge. Reasoning techniques are a possible solution to cope with the problem of variety in the processing of these continuous streams of information. Anyway, while reasoners scale up in the classical, static domain of ontological knowledge, reasoning upon rapidly changing information has received attention only very recently. The combination of reasoning techniques with data streams gives rise to Stream Reasoning, a high impact research area that has already started to produce results that are relevant for both the semantic and data processing communities. Moreover, an observation from the lessons learned on Stream Reasoning in these years is that the ordering of data over time is just one of the possible types of orders to harness in optimising the reasoning tasks. We perceive a trend in the community towards order-aware semantic technologies in works such as: top-k query answering techniques for Linked Data, SPARQL query answering on RDF annotated with partially ordered labels, and top-k ontological query answering in the context of Ontology Based Data Access. The workshop aimed at bringing together this growing and very active community interested in integrating stream processing, ordering and reasoning by using methods inspired by data and knowledge management.
i challenges that the IoT currently faces. In particular, the workshop aims to discover new ways to embrace the opportunities that semantic technologies offer in terms of data modelling, integration, processing, and provisioning as well as in terms of developing flexible and intelligent system solutions.
Acknowledgements We would like to thank all the authors and workshop participants for their thoughtful and valuable contributions. Among them, we thank Freddy Lecue and Jeff Z. for enriching the events with their inspiring keynotes. The program committee members also deserve thanks for reviewing submissions and ensuring quality workshop programs. Finally, we would also like to thank the ISWC organizers, in particular Chiara Ghidini and Heiner Stuckenschmidt, for their support in organizing these workshops.
WAVES: Big Data Platform for Real-time RDF Stream Processing Houda Khrouf, Badre Belabbess, Laurent Bihanic, Gabriel Kepeklian, Olivier Curé Remembering the Important Things: Semantic Importance in Stream Reasoning Rui Yan, Mark T. Greaves, William P. Smith, Deborah L. McGuinness Introducing Thing Descriptions and Interactions: An Ontology for the Web of Things Victor Charpenay, Sebastian Käbisch, Harald Kosch Autonomy through knowledge: how IoT-O supports the management of a connected apartment Nicolas Seydoux, Khalil Drira, Nathalie Hernandez, Thierry Monteil Generic semantic platform for the user-friendly development of intelligent IoT services Pieter Bonte, Femke Ongenae, Filip De Turck Applying Ontologies in the Dairy Farming Domain for Big Data Analysis Jack P.C. Verhoosel, Jacco Spek 1 13 25 37 49 55 67 79 91
Tara Athan Jean-Paul Calbimonte Oscar Corcho Minh Dao-Tran Alasdair Gray Andreas Harth Manfred Hauswirth
Deborah McGuinness Ralf Möller Boris Motik Özgür Lütfü Özcep Jeff Z. Pan Josiane Xavier Parreira Stefan Schlobach Riccardo Tommasini Anni-Yasmin Turhan Jacopo Urbani Peter Wetz Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland SIEMENS, Germany Athan Services, USA EPFL, Switzerland Universidad Politécnica de Madrid, Spain TU Wien, Austria Heriot-Watt University, United Kingdom Karlsruhe Institute of Technology, Germany Technical University of Berlin and Fraunhofer FOKUS, Germany Linköping University, Sweden Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland University of Lugano (USI), Switzerland Rensselaer Polytechnic Institute, USA University of Lübeck, Germany University of Oxford, United Kingdom University of Lübeck, Germany University of Aberdeen, United Kingdom SIEMENS, Austria Vrije Universiteit Amsterdam, Netherlands Politecnico di Milano, Italy TU Dresden, Germany Vrije Universiteit Amsterdam, Netherlands TU Wien, Austria
Sergio Fernández Andreas Harth Felix Leif Keppmann Nandana Mihindukulasooriya Lionel Médini Stefan Schulte Mehdi Terdjimi Tobias Weller Karlsruhe Institute for Technology (KIT), Germany RedLink GmbH, Austria Karlsruhe Institute for Technology (KIT), Germany Karlsruhe Institute for Technology (KIT), Germany Universidad Politécnica de Madrid, Spain LIRIS - Université Lyon 1, France TU Wien, Austria LIRIS - Université Lyon 1, France Karlsruhe Institute for Technology (KIT), Germany