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

Computer Science > Artificial Intelligence [Submitted on 7 Apr 2026] BDI-Kit Demo: A Toolkit for Programmable and Conversational Data Harmonization Roque Lopez, Yurong Liu, Christos Koutras, Juliana Freire 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. Subjects: Artificial Intelligence (cs.AI); Databases (cs.DB) Cite as: arXiv:2604.06405 [cs.AI]   (or arXiv:2604.06405v1 [cs.AI] for this version)   https://doi.org/10.48550/arXiv.2604.06405 Focus to learn more Submission history From: Roque Lopez [view email] [v1] Tue, 7 Apr 2026 19:38:42 UTC (889 KB) Access Paper: HTML (experimental) view license Current browse context: cs.AI < prev   |   next > new | recent | 2026-04 Change to browse by: cs cs.DB References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)