MetaQ: A knowledge-driven framework for context-aware activity recognition combining SPARQL and OWL 2 activity patterns.
Georgios MeditskosStamatia DasiopoulouIoannis KompatsiarisPublished in: Pervasive Mob. Comput. (2016)
Keyphrases
- context aware
- activity recognition
- smart home
- knowledge driven
- smart environments
- activity patterns
- context aware systems
- contextual information
- human activities
- ubiquitous computing
- human activity recognition
- mobile devices
- context awareness
- semantic web
- action recognition
- activity analysis
- query language
- mobile users
- mobile applications
- ambient intelligence
- daily life
- wireless sensor networks
- training data
- text mining
- natural language
- current context
- reinforcement learning