ACM KDD 2012 International Workshop on Context Discovery and Data Mining http://www.contextdd.org In conjunction with ACM KDD 2012 Beijing, China, 12 - 16 August, 2012
With the emergence of mobile computing and social networking, there is a huge amount of data that can be collected and studied. Smartphones provide a unique platform for studying human behaviour and the environment in ways that were never dreamed before, because they can record context from sensors embedded in the device.
According to Dey, context can be defined as any information that can be used to characterize the situation of an entity where the entity is a person, place or object that is considered relevant to the interaction between a user and an application, including the user and applications themselves. Perhaps, the most ubiquitous and often collected context is that of location, which is usually GPS for building location-based services. This has given birth to context-aware computing, being able to use context in a computing framework for ubiquitous computing applications and mining human intelligence.
There has been much research into defining context, context models and context inference, but still many challenges on how to deal with the different types of context that can be collected on a smartphone such as the accelerometer and gyroscope, and context fusion, that is, how to make sense of diverse types of context (such as social context, emotional context, physical context, etc). in order to understand the task or behaviour.
The ContextDD 2012 workshop is an international forum for researchers and practitioners to present innovative ideas and results on all aspects of context computing, in particular coming from the data perspective which includes theoretical foundations, techniques and methods, tools and platforms, prototypes, evaluation, practical implementations and applications for discovering and making sense of context. The workshop aims to attract and bring together mobile computing, cyber-physical computing, ubiquitous computing, social computing and data mining researchers and practitioners with diverse backgrounds who have an interest in context. Our objectives in the workshop are the following:
- Identify the various aspects of rich context mobile computing
- Review the state of the art of these algorithms and novel applications
- Gather researchers and practitioners in sharing their experiences on context computing
- Identify further research challenges and topics needed to be addressed on national and international level
- How to bridge the gap between context research in academia and industry, and transition the research from lab to consumer applications
- Recommend strategies where short-term commercial and consumer values may reasonably be expected;
- Create a research framework, agenda and social network for rich context mobile computing for further collaboration after the workshop
The workshop will be a half day workshop. Besides research paper presentations, the workshop will feature an Invited Talk (keynote) and a Panel Discussion session. The workshop will be held in Beijing, China in August 2012, in conjunction with the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2012) (http://www.kdd.org/kdd2012).
Topics of interest include, but are not limited to:
- Rich context data collection and how to collect different types of context while taking energy efficiency into account
- Context modeling techniques
- Context processing, activity recognition, labeling, feature selection
- Context inference algorithms and performance: complexity and accuracy
- Context awareness methods and frameworks
- Context aggregation to semantics
- Algorithm for discovering, mining and reusing of context information
- Prototypes of context data processing
- User behaviour from context
- Applications of context discovery and data mining
- Contextual recommendation
- Mobile,social and human context
- Intelligent mobile systems, platform and framework that use context
- Context-aware services and applications
- Tool and evaluation support for context modeling and development
- Privacy and security issues with context data collection and use
Paper Submission Deadline: May 8, 2012
Author Notification: June 1, 2012
Final Manuscript: June 18, 2012
Workshop date: August 12, 2012
Authors are invited to submit original papers that must not have been submitted to or published in any other workshop, conference, or journal. The workshop will accept full papers describing completed work, work-in-progress papers with preliminary results, as well as short position papers reporting inspiring and intriguing new ideas.
Submissions must be in PDF format and not exceed 6 pages in length.
For detailed submission instructions, please visit the workshop
All papers will be peer-reviewed by members of the Program Committee and be evaluated for originality, significance of the contribution, technical correctness and presentation. At least one author of each accepted papers must present their work at the workshop. Accepted papers will be included in the ACM KDD 2012 Workshops proceedings published by ACM (placed in ACM Digital Library) . Extended versions of selected best papers will be considered for publication in special issues of SCI-index international journals.
Jilei Tian, Nokia Research Center, China Alvin Chin, Nokia Research Center, China Enhong Chen, University of Science and Technology of China, China
Guanling Chen, University of Massachussets-Lowell, USA Li Chen, Hong Kong Baptist University, Hong Kong, China Yiqiang Chen, Chinese Academy of Science, Beijing, China Anind Dey, Carnegie Mellon University, USA Antti Eronen, Nokia Research Center, Tampere, Finland Alfred Kobsa, University of California Irvine, USA Jeff Pan, University of Aberdeen, UK Mielikainen Taneli, Nokia Research Center, Palo Alto, US Jianyong Wang, Tsinghua University, China Xing Xie, Microsoft Research Asia, China Linli Xu, University of Science and Technology of China, China Zheng Yan, Xidian University China and Aalto University, Finland Zhiwen Yu, Northwestern Polytechnic University, Xian, China Daqiang Zhang, Institute Telecom SudParis, France Yanyong Zhang, Rutgers University, USA Yu Zheng, Microsoft Research Asia, Beijing, China