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https://ceur-ws.org/Vol-1783/preface.pdf
Preface: Joint Proceedings of SR and SWIT 2016
This joint volume of proceedings gathers together papers from the 3rd Stream Reasoning workshop
(SR 2016) and the 1st Semantic Web Technologies for the Internet of Things workshop (SWIT 2016),
held on October 17th and 18th, during the 15th International Semantic Web Conference (ISWC 2016) in
Kobe, Japan.
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.
Semantic Web Technologies for the Internet of Things (SWIT 2016)
Current developments on the Internet are characterised by the wider use of network-enabled devices,
such as sensors, mobile phones, and wearables that serve as data providers or actuators, in the context
of client applications. Even though real-life objects can finally participate in integrated scenarios, the
use of individual and specific interaction mechanisms and data models lead to realising isolated
islands of connected devices or to custom solutions that are not reusable. Devices are increasingly
network-enabled but rely on heterogeneous network communication mechanisms, use non-
standardised interfaces and introduce new data schemas for each individual type of device. This
results in a lot of heterogeneity, in the lack of overall integration and in solutions that cannot easily be
extended and reused for different application domains.
To this end, the vision of the Internet of Things (IoT) is to leverage Internet standards in order to
interconnect all types of embedded devices (e.g., patient monitors, medical sensors, congestion
monitoring devices, traffic-light controls, temperature sensors, smart meters, etc.) and real-world
objects, and thus to make them a part of the Internet and provide overall interoperability. Therefore,
IoT aims to build a future of connected devices that is truly open, flexible, and scalable. The SWIT
(SemanticWeb technologies for the IoT) workshop aims to contribute towards achieving this goal by
exploring how existing well-established Semantic Web Technologies can be used to solve some of the
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.
Daniele Dell’Aglio
Emanuele Della Valle
Thomas Eiter
Markus Krötzsch
Maria Maleshkova
Ruben Verborgh
Federico M. Facca
Michael Mrissa
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Table of contents
Stream Reasoning (SR 2016)
On measuring performances of C-SPARQL and CQELS 1
Xiangnan Ren, Houda Khrouf, Zakia Kazi-Aoul, Yousra Chabchoub, Olivier Curé
Towards Spatial Ontology-Mediated Query Answering over Mobility Streams 13
Thomas Eiter, Josiane Xavier Parreira, Patrik Schneider
Query Templates for RDF Stream Processing 25
Robin Keskisärkkä
WAVES: Big Data Platform for Real-time RDF Stream Processing 37
Houda Khrouf, Badre Belabbess, Laurent Bihanic, Gabriel Kepeklian, Olivier Curé
Remembering the Important Things: Semantic Importance in Stream Reasoning 49
Rui Yan, Mark T. Greaves, William P. Smith, Deborah L. McGuinness
Semantic Web Technologies for the Internet of Things (SWIT 2016)
Introducing Thing Descriptions and Interactions: An Ontology for the Web of Things 55
Victor Charpenay, Sebastian Käbisch, Harald Kosch
Autonomy through knowledge: how IoT-O supports the management of a connected 67
apartment
Nicolas Seydoux, Khalil Drira, Nathalie Hernandez, Thierry Monteil
Generic semantic platform for the user-friendly development of intelligent IoT services 79
Pieter Bonte, Femke Ongenae, Filip De Turck
Applying Ontologies in the Dairy Farming Domain for Big Data Analysis 91
Jack P.C. Verhoosel, Jacco Spek
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Program Committees
Stream Reasoning (SR 2016)
Muhammad Intizar Ali Insight Centre for Data Analytics, National University of
Ireland, Galway, Ireland
Darko Anicic SIEMENS, Germany
Tara Athan Athan Services, USA
Jean-Paul Calbimonte EPFL, Switzerland
Oscar Corcho Universidad Politécnica de Madrid, Spain
Minh Dao-Tran TU Wien, Austria
Alasdair Gray Heriot-Watt University, United Kingdom
Andreas Harth Karlsruhe Institute of Technology, Germany
Manfred Hauswirth Technical University of Berlin and Fraunhofer FOKUS,
Germany
Fredrik Heintz Linköping University, Sweden
Danh Le Phuoc Insight Centre for Data Analytics, National University of
Ireland, Galway, Ireland
Alessandro Margara University of Lugano (USI), Switzerland
Deborah McGuinness Rensselaer Polytechnic Institute, USA
Ralf Möller University of Lübeck, Germany
Boris Motik University of Oxford, United Kingdom
Özgür Lütfü Özcep University of Lübeck, Germany
Jeff Z. Pan University of Aberdeen, United Kingdom
Josiane Xavier Parreira SIEMENS, Austria
Stefan Schlobach Vrije Universiteit Amsterdam, Netherlands
Riccardo Tommasini Politecnico di Milano, Italy
Anni-Yasmin Turhan TU Dresden, Germany
Jacopo Urbani Vrije Universiteit Amsterdam, Netherlands
Peter Wetz TU Wien, Austria
Semantic Web Technologies for the Internet of Things (SWIT 2016)
Sebastian Bader Karlsruhe Institute for Technology (KIT), Germany
Sergio Fernández RedLink GmbH, Austria
Andreas Harth Karlsruhe Institute for Technology (KIT), Germany
Felix Leif Keppmann Karlsruhe Institute for Technology (KIT), Germany
Nandana Mihindukulasooriya Universidad Politécnica de Madrid, Spain
Lionel Médini LIRIS - Université Lyon 1, France
Stefan Schulte TU Wien, Austria
Mehdi Terdjimi LIRIS - Université Lyon 1, France
Tobias Weller Karlsruhe Institute for Technology (KIT), Germany
iv