Contextriver
Contextriver is a modular framework for collecting, processing, and delivering contextual data streams in real time. It is designed to help applications reason about their situation by composing context from multiple sources, including user state, device sensors, environmental data, and application logs. The goal is to provide a unified, time-aware view of context that can drive adaptive behavior, personalization, and automation.
The architecture centers on a context pipeline with pluggable adapters for data sources, a context graph or
Key features include temporal reasoning across context items, provenance tracking of data sources, conflict resolution when
Typical use cases are adaptive user interfaces, smart environments, IoT analytics, workflow automation, and personalized recommendations.
Origin and status: the concept emerged in academic and open-source discussions around contextual computing and event-driven
See also context-aware computing, event stream processing, data provenance.