AI BriefingEugene Group Conducts and Validates PoC Converting Building Materials Distribution Data to Knowledge Graph Using Amazon Neptune and Bedrock
·2026.11.10 16:38
Key point
Eugene Group conducted a PoC to convert building materials distribution data into a knowledge graph using Amazon Neptune and Bedrock, validating the effectiveness of seven business CQs.
Details
- Conducted a PoC to convert Eugene Home Center's building materials distribution data into an Amazon Neptune-based knowledge graph, validating the effectiveness of seven business CQs
- Combined R2G and GRAD academic methodologies with GoodRelations, schema.org, and GS1 industry standard ontologies to restructure the relational DB into an LPG model
- Automated the process of generating openCypher queries and summarizing results from natural language queries using Claude Sonnet 4.5 on Amazon Bedrock
- Confirmed that queries difficult to express with existing RDBMS in five areas—inventory availability, lead times, substitutes, quotes, and cross-store inventory transfers—are valid as graph paths
- Emphasized that data standardization (terminology sets, code standards) and collaboration with domain experts (SMEs) are essential for ontology success, and plans to pursue an integrated building materials distribution AI platform and data modernization linked to SAP-based ERP
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