AUG-WP-176 — SLE Technical Blueprint: Research-Based Technology Stack for a Semantic Anchoring Infrastructure (April 2026)
Andreas Ehstand
Zenodo (CERN European Organization for Nuclear Research)
Problems Identified (4)
Semantic anchoring infrastructure specification: The work addresses the need to define a research-based technology stack and components for a semantic anchoring infrastructure supporting the SLE Definitions API.
Terminology and semantic integration design: The work addresses integration of terminology standards, knowledge graph architectures, LLM pipelines, multi-agent protocols, and academic APIs into one infrastructure design.
Semantic anchoring infrastructure specification: The work addresses the need to define a research-based technology stack and components for a semantic anchoring infrastructure supporting the SLE Definitions API.
Terminology and semantic integration design: The work addresses integration of terminology standards, knowledge graph architectures, LLM pipelines, multi-agent protocols, and academic APIs into one infrastructure design.
Proposed Solutions (5)
Technical blueprint: The paper proposes a comprehensive English-language technical blueprint that maps the components needed for the SLE Definitions API.
Standards-based terminology layer: The blueprint includes terminology standards such as ISO 704:2022, TBX 3.0, ISO 5078:2025, and Enosema EFS 2504:2025.
Vector database comparison: The blueprint compares vector database options including Weaviate, Qdrant, pgvector, Milvus, Turbopuffer, and LanceDB.
Knowledge graph architecture: The blueprint covers knowledge graph architectures using SKOS, OWL, JSON-LD 1.1, and Wikidata integration via WikibaseIntegrator.
RAG-based LLM pipeline: The blueprint includes LLM pipeline design with genus-differentia, structured outputs, RAG, Cohere Rerank 4, and cross-encoder reranking.
Results (3)
Component map for SLE Definitions API:
Current integration information:
Human-reviewed AI-assisted content:
Research Domain
Semantic infrastructure / NLP systems engineering