Tenth International Workshop Modelling and Reasoning in Context
Jörg Cassens, Rebekah Wegener, Anders Kofod-Petersen IJCAI-ECAI 2018, Stockholm, Sweden
Context plays an increasingly important role in modern IT applications. Context sensitivity and awareness is becoming essential, not only for mobile systems, ambient computing and the internet of things, but also for a wide range of other areas, such as learning and teaching solutions, collaborative software, web engineering, mobility logistics and health care work-flow.
The Modelling and Reasoning in Context workshop series aims to bring together researchers and practi- tioners from different communities, both in industry and academia, to study, understand, and explore issues surrounding context and to share their problems, techniques and success stories across different areas. By considering modelling and reasoning approaches for contextualised systems from a broad range of areas, the workshop will facilitate the sharing of problems, techniques, and solutions. The workshop covers different understandings of what context is, different approaches to automatically learn about context from data and to modelling context, mechanisms for storage of contextual information, effective ways to retrieve it, and methods for enabling integration of context and application knowledge.
The organizers would like to thank all the authors for submitting their papers and the members of the program committee for their valuable review contribution. These Proceedings are originally published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073).
Workshop website mrc.kriwi.de
Hildesheim, July 2018 Jörg Cassens, Rebekah Wegener, Anders Kofod-Petersen
Workshop Chairs
- Jörg Cassens, IMAI, University of Hildesheim, Germany
- Rebekah Wegener, RWTH Aachen University, GermanyandAudaxi, Sydney, Australia
- Anders Kofod-Petersen, Alexandra Institute, Copenhagen, DenmarkandNTNU, Trondheim, Norway
Program Committee
- Juan Carlos Augusto, Middlesex University, UK - Tarek Richard Besold, City, University of London, UK - Henning Christiansen, Roskilde University, Denmark - Adrian Clear, Northumbria University, UK
- Božidara Cvetkovi´c, Jožef Stefan Institute, Slovenia
- Martin Christof Kindsmüller, Brandenburg University of Applied Sciences, Germany - Christian Kohlschein, RWTH Aachen University, Germany
- David Leake, Indiana University Bloomington, USA
- Ana Gabriela Maguitman, Universidad Nacional del Sur, Argentina - Tobias Meisen, RWTH Aachen University, Germany
- Stella Neumann, RWTH Aachen University, Germany - Maite Taboada, Simon Fraser University Vancouver, Canada
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Tenth International Workshop Modelling and Reasoning in Context (MRC) – 13.07.2018 – Stockholm, Sweden
Contents
Context and Situation Understanding 1
1.1 Evana Gizzi, Lisa Le Vie, Matthias Scheutz, Vasanth Sarathy and Jivko Sinapov: A Generalized Framework for Detecting Anomalies in Real-Time Using Contextual Information . . . 1 1.2 Jiman Kim and Changjong Park: Attribute Dissection of Urban Road Scenes for Efficient
Dataset Integration . . . 8 1.3 Johannes Ude, Bianca Schüller, Rebekah Wegener and Jörg Cassens: A Pipeline for Extracting
Multi-Modal Markers for Meaning in Lectures. . . 16 1.4 Uwe Köckemann, Marjan Alirezaie, Lars Karlsson and Amy Loutfi: Integrating Ontologies for
Context-based Constraint-based Planning . . . 22
Context and Social Modelling 30
2.1 Ilir Kola, Catholijn M. Jonker and M. Birna van Riemsdijk: Modelling the Social Environment:
Towards Socially Adaptive Electronic Partners. . . 30 2.2 Myrthe L. Tielman, Catholijn M. Jonker and M. Birna van Riemsdijk: What Should I Do?
Deriving Norms from Actions, Values and Context . . . 35 2.3 Ana Petrovska and Florian Grigoleit: Towards Context Modeling for Dynamic Collaborative
Embedded Systems in Open Context . . . 41
Context and Natural Language 46
3.2 Tetiana Parshakova and Dae-Shik Kim: Latent Question Interpretation Through Parameter Adaptation Using Stochastic Neuron . . . 46 3.3 Marcus Ströbel, Elma Kerz, Daniel Wiechmann and Yu Qiao: Text Genre Classification Based
on Linguistic Complexity Contours Using A Recurrent Neural Network . . . 56 3.4 Aishwarya Chhabra, Amit Sangroya and C. Anantaram: Formalizing and Verifying Natural
Language System Requirements using Petri Nets and Context based Reasoning . . . 64
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