<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">CfP: 12th Workshop on Context Modeling and Reasoning (CoMoRea'16) <a href="http://www.comorea.org/" class="">http://www.comorea.org/</a><br class=""><br class="">@ 14th Annual IEEE Intl. Conference on Pervasive Computing and Communications, March 14-18 2016, Sydney, Australia.<br class=""><br class=""><br class="">Important Dates<br class="">========================================================================<br class="">Paper Submission Deadline: Nov. 27, 2015<br class="">Author Notification: Jan. 2, 2016<br class="">Camera Ready Paper: Jan. 15, 2016<br class=""><br class="">Author registration due: Jan. 15, 2016<br class=""><br class="">Workshop: tbd<br class=""><br class=""><br class="">Abstract<br class="">========================================================================<br class="">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 applications 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 current situation or the physical environment. A more generic approach to context modeling is needed in order to capture various features of context information including a variety of types of context information, dependencies between 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 problems, appropriate abstractions are necessary to support discovery and reuse of context information as well as scalable methods of context processing and management.<br class=""><br class="">This workshop's aim is to advance the state of the art in context modeling and reasoning and also discuss fundamental issues in context processing and management. 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.<br class=""><br class="">In particular, the following topics are of interest to this workshop:<br class="">* Context modeling techniques<br class="">* Domain-specific context models <br class="">* Ontology-based approaches to context modeling and reasoning<br class="">* Hybrid context models (integration of various modeling techniques)<br class="">* Advanced issues in context modeling, including issues of information quality, ambiguity, and provenance<br class="">* Context reasoning algorithms, their complexity and accuracy<br class="">* Social context modeling and recognition<br class="">* Discovery and reuse of context information<br class="">* Privacy, security and trust of context information<br class="">* Distributed and scalable context management <br class="">* Tool support for context modeling and development of context model-based applications<br class="">* Balance of autonomy with user control<br class="">* Machine learning and reasoning techniques for context and activity recognition<br class=""><br class=""><br class="">Workshop Committee<br class="">========================================================================<br class="">Workshop Co-Chairs:<br class=""><br class="">Matthias Wieland, Universit‰t Stuttgart, Germany<br class="">Peizhao Hu, Rochester Institute of Technology, USA<br class=""><br class=""><br class="">Program Committee:<br class=""><br class="">Martin Bauer, NEC Europe Ltd., Germany<br class="">Chiara Boldrini, IIT-CNR, Italy<br class="">Jingyuan Cheng, German Research Center for Artificial Intelligence, Germany<br class="">Delphine Christin, University of Bonn, Germany<br class="">Klaus David, University of Kassel, Germany<br class="">Ms. Natalia DÌaz RodrÌguez, ≈bo Akademi University, Finland<br class="">Frank D¸rr, University of Stuttgart, Germany<br class="">Markus Endler, PUC-Rio, Brazil<br class="">Rim Helaoui, Philips Research, Netherlands<br class="">Jadwiga Indulska, The University of Queensland, Australia<br class="">Thomas Kirste, University of Rostock, Germany<br class="">Daniela Nicklas, University of Bamberg, Germany<br class=""><br class="">Daniele Riboni, University of Milan, Italy<br class="">Anni-Yasmin Turhan, Technische Universit‰t Dresden, Germany<br class="">Massimo Valla, Telecom Italia, Italy<br class="">Zhiwen Yu, Northwestern Polytechnical University, P. R. China<br class="">Weishan Zhang, China University of Petroleum, P. R. China<br class=""><br class=""><br class="">Submissions<br class="">========================================================================<br class="">Submitted papers will be refereed by the workshop Program Committee. <br class="">Accepted papers will appear in the IEEE PerCom'16 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. Experience reports must be stated as such and a comprehensive discussion of the taken approach, experiences, and its assessment is expected. <br class=""><br class="">For each accepted paper, a full conference registration is required. Papers should be submitted via the EDAS CoMoRea page: <a href="http://edas.info/N21117" class="">http://edas.info/N21117</a></body></html>