The Document Introspection System for CognitiVe Research
(DiSCVR) is an extensible open source project that analyzes user-provided research
papers and delivers recommendations for related content and papers.
DiSCVR is a pipeline of modular services, clients, and databases that
extract Information about the research paper and match it with similar papers.
DiSCVR provides - A foundation for research into common programming,
computation, and communication patterns of scale-out and scale-up cognitive
computing applications.
- A platform for implementation, integration, and evaluation
of cognitive computing and learning techniques.
- A realistic cognitive computing application that can be
used to evaluate the performance and energy-efficiency implications of novel
computer systems.
- Compiler and scheduling opportunity for performing
optimizations on application pipelines as well as scheduling services to run on
ideal hardware architectures.
Insights from DiSCVR and other end-to-end cognitive
workflows will help us develop a generic Cognitive Application Builder (CAB) to
improve cognitive application developers' productivity and deployment scalability.
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