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You build a knowledge graph from team documentation by extracting concepts and relationships from source materials like Confluence pages and Jira issues, then structuring them into interconnected atomic articles for efficient retrieval.

The best way to maintain and enrich an information architecture is to continuously incorporate source references and apply dynamic restructuring, splitting or merging atomic articles to keep the concept graph organized and up-to-date.

Yes, you can split, merge, and restructure articles freely within the concept knowledge graph to ensure the information architecture remains organized and meaningful as operational triggers introduce new data.

You keep architecture decision logs current by extracting ideas from official documentation and internal wikis, then linking those source references directly to the concept articles for proactive enrichment.

No, interlinking concepts from Confluence and Jira does not require predefined structures because the knowledge graph extracts entities and relationships from raw materials to dynamically create and maintain atomic articles.

Concept-driven knowledge management is the process of extracting entities and relationships from raw operational knowledge materials to create atomic articles, forming a searchable and interconnected graph of concepts.