15th Workshop on Context Modeling and Recognition (CoMoRea'19) – http://www.comorea.org/
@ 17th Annual IEEE Intl. Conference on Pervasive Computing and Communications
Kyoto, Japan, March 11-15, 2019


There is a growing interest in context-aware applications that intelligently support user tasks by acting autonomously on behalf of users. Among others, activity of the user is one important context. Behavior of context-aware appli-cations depends not only on their internal state and user interactions but also on the context sensed during their execution. Some early models of context information already exist, however many research issues related to context information modeling are still not fully addressed. Existing context models vary in types of context information they can represent; e.g., either the user’s cur-rent situation or the physical environment. A more generic approach to con-text modeling is needed in order to capture various features of context infor-mation including a variety of types of context information, dependencies be-tween context information, quality of context information and context histories. Tools for modeling and reasoning with the social context of groups of people are also needed. In addition, to ease software engineering prob-lems, appro-priate abstractions are necessary to support discovery and reuse of context information as well as scalable methods of context processing and manage-ment.
This workshop’s aim is to advance the state of the art in context modeling and reasoning and discuss fundamental issues in context processing and man-agement. The goal is to identify concepts, theories and methods applicable to context modeling and context reasoning as well as system-oriented issues related to the design and implementation of context-aware systems.

In particular, the following topics are of interest to this workshop:
• Context modeling techniques and domain-specific context models
• Ontology-based approaches to context modeling and reasoning
• Ontologies of Activities and Context
• Hybrid context models and advanced issues in context modeling, in-cluding issues of information quality, ambiguity, and provenance
• Context reasoning algorithms, their complexity and accuracy
• Discovery, reuse, privacy, security and trust of context information
• Distributed and scalable context management
• Tool support for context modeling and development of context model-based applications
• Machine learning and reasoning techniques for context and activity
recognition
• High Level Activity Recognition from Sensor Data
• Machine Learning and Computer Vision for Context and Activity Recognition
• Reference Datasets and Benchmarks for Activity Recognition and Context Reasoning

Submissions
Submitted papers will be refereed by the workshop Program Committee. Accepted papers will appear in the IEEE PerCom'19 Workshops proceedings published by IEEE Computer Society Press. The papers should be in the IEEE format and should be no more than 6 pages in length. Research papers must be an original unpublished work and not under review elsewhere. Expe-rience reports must be stated as such and a comprehensive discussion of the taken approach, experiences, and its assessment is expected. For each ac-cepted paper, a full conference registration is required. Papers should be submitted via the EDAS CoMoRea page.

Important Dates

Paper submissions: Nov 10, 2018
Notification: Dec 22, 2018
Camera ready version: TBA
Workshop date: TBA

Workshop Committee:

Workshop co-chairs:
Pascal Hirmer, Universität Stuttgart, Germany
Timo Sztyler, Universität Mannheim, Germany
Jadwiga Indulska, The University of Queensland, Australia

Advisory Board:
Daniela Nicklas, University of Bamberg, Germany
Daniele Riboni, University of Cagliari, Italy
Matthias Wieland, Universität Stuttgart, Germany
Heiner Stuckenschmidt, Universität Mannheim, Ger-many

(Preliminary) TPC:
Martin Bauer, NEC Europe Ltd., Germany
Jingyuan Cheng, University of Passau, Germany
Gabriele Civitarese, University of Milano, Italy
Diane Cook, Washington State University
Waltenegus Dargie, Technische Universität Dresden, Germany
Klaus David, University of Kassel, Germany
Frank Dürr, University of Stuttgart, Germany
Markus Endler, PUC-Rio, Brazil
Bin Guo, Northwestern Polytechnical University, P.R. China
Rim Helaoui, Phillips Research, Eidhoven, The Nether-lands
Pascal Hirmer, Universität Stuttgart, Germany
Peizhao Hu, Rochester Institute of Technology, USA
Jadwiga Indulska, The University of Queensland, Australia
Jiahui Wen, National University of Defense Technolo-gy, China
Thomas Kirste, University of Rostock, Germany
Philippe Lalanda, Grenoble University, France
Daniela Nicklas, University of Bamberg
Daniele Riboni, University of Cagliari, Italy
Carlos Rivero, Rochester Institute of Technology, USA
Nirmalya Roy, University of Maryland Baltimore County
Heiner Stuckenschmidt, Universität Mannheim, Ger-many
Timo Sztyler, University of Mannheim
Anni-Yasmin Turhan, Technische Universität Dresden, Germany
Matthias Wieland, Universität Stuttgart, Germany
Weishan Zhang, China University of Petroleum, P.R. China