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COMOREA 2019 : 15th Workshop on Context Modeling and Recognition (CoMoRea) | |||||||||||||
Link: http://www.comorea.org | |||||||||||||
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Call For Papers | |||||||||||||
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 |
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