A survey on context-aware systems

By Matthias Baldauf, Schahram Dustdar, Florian Rosenberg. International Journal of Ad Hoc and Ubiquitous Computing, 2007

2,199 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b7fe668f495eb491a52ca1aee37262787ca71a75

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Citations in the corpus

Challenges and Solutions of Ubiquitous User Modeling (2012, neutral): “Other context aware surveys include [5, 36, 42, 78].”
A data-oriented survey of context models (2007, background): “Although interesting comparisons of context models already exist [5,30, 39,45], we felt the need to establish a framework to systematically evaluate them, by defining a set of relevant, objective and rather general categories.”
Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems (2015, background): “Such systems are called contextaware recommender systems (see surveys [1, 2, 5, 47] and references therein).”
Context Aware Computing for The Internet of Things: A Survey (2013, methodology): “There are several popular context modelling techniques [10], [122] used in context-aware computing.”
Context-aware systems: A literature review and classification (2009, background): “Baldauf, Dustdar, and Rosenberg (2007) suggested the abstract layer architecture for context-aware systems and introduced various existent middleware and serverbased approaches to ease the development of context-aware applications , where each layer is explained based on various research.”
Bitwise Neural Networks (2016, background): “Examples of those applications span from context-aware computing, collecting and analysing a variety of sensor signals on the device (Baldauf et al., 2007), to always-on computer vision applications (e.g. Google glasses), to speech-driven personal assistant services, such as “Hey, Siri.””
A Bayesian Framework for Learning Rule Sets for Interpretable Classification (2017, background): “Such systems are called context-aware recommender systems (see surveys Adomavicius and Tuzhilin, 2005, 2008; Verbert et al., 2012; Baldauf et al., 2007, and references therein).”
Redpin - adaptive, zero-configuration indoor localization through user collaboration (2008, background): “Luckily, however, surveys of the most prominent challenges and issues in ubiquitous computing have shown that it is sufficient to localize a user within room-level accuracy for almost all applications [1, 3, 6, 12, 15, 30].”
Internet of things: Vision, applications and research challenges (2012, background): “A number of research efforts for building self-adaptive situated services have been undertaken in the last few years [37–42].”
Challenges, issues and trends in fall detection systems (2013, background): “In any case, the protection of sensitive context data must be guaranteed [62].”