BDI-Kit Demo: A Toolkit for Programmable and Conversational Data Harmonization

BDI-Kit is an extensible toolkit designed to overcome data harmonization bottlenecks using a dual approach: a Python API for developers and an AI-assisted conversational interface for domain experts.
Computer Science > Artificial Intelligence
Title:BDI-Kit Demo: A Toolkit for Programmable and Conversational Data Harmonization
View PDF HTML (experimental)Abstract:Data harmonization remains a major bottleneck for integrative analysis due to heterogeneity in schemas, value representations, and domain-specific conventions. BDI-Kit provides an extensible toolkit for schema and value matching. It exposes two complementary interfaces tailored to different user needs: a Python API enabling developers to construct harmonization pipelines programmatically, and an AI-assisted chat interface allowing domain experts to harmonize data through natural language dialogue. This demonstration showcases how users interact with BDI-Kit to iteratively explore, validate, and refine schema and value matches through a combination of automated matching, AI-assisted reasoning, and user-driven refinement. We present two scenarios: (i) using the Python API to programmatically compose primitives, examine intermediate outputs, and reuse transformations; and (ii) conversing with the AI assistant in natural language to access BDI-Kit's capabilities and iteratively refine outputs based on the assistant's suggestions.
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Source: arXiv cs.AI Recent









