NLQ
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- Natural Language interfaces for scientific computing. Originally developed to let researches ask questions of multiomic research databases, abstracted and repurposed as a general tool.
- Relies on Alzabo schema for hinting.
Abstract
- For a Clojure AI workshop talk
- Previous work in end-user scientific computing has focused on manipulable visual representations of programs. LLMs technology provides an alternate path for non-programmers to engage with the complexity of scientific data. This talk will esplore the use of LLMs, ontologies, and domain-specific languages to support natural language queries, visualization, and general computing. Clojure's flexibility as back-end, front-end, and knowledge representation language is a key enabler.
References
- See AskMendel/Notes
- that paper on scientific question answering
Examples
