Freebase: Collaborative Knowledge Graph for Structured Information
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Freebase: Collaborative Knowledge Graph for Structured Information

Michael Brenndoerfer•November 1, 2025•15 min read•3,685 words•Interactive

In 2007, Metaweb Technologies introduced Freebase, a revolutionary collaborative knowledge graph that transformed how computers understand and reason about real-world information. Learn how Freebase's schema-free entity-centric architecture enabled question-answering, entity linking, and established the knowledge graph paradigm that influenced modern search engines and language AI systems.

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Reference

BIBTEXAcademic
@misc{freebasecollaborativeknowledgegraphforstructuredinformation, author = {Michael Brenndoerfer}, title = {Freebase: Collaborative Knowledge Graph for Structured Information}, year = {2025}, url = {https://mbrenndoerfer.com/writing/history-freebase-knowledge-graph}, organization = {mbrenndoerfer.com}, note = {Accessed: 2025-11-02} }
APAAcademic
Michael Brenndoerfer (2025). Freebase: Collaborative Knowledge Graph for Structured Information. Retrieved from https://mbrenndoerfer.com/writing/history-freebase-knowledge-graph
MLAAcademic
Michael Brenndoerfer. "Freebase: Collaborative Knowledge Graph for Structured Information." 2025. Web. 11/2/2025. <https://mbrenndoerfer.com/writing/history-freebase-knowledge-graph>.
CHICAGOAcademic
Michael Brenndoerfer. "Freebase: Collaborative Knowledge Graph for Structured Information." Accessed 11/2/2025. https://mbrenndoerfer.com/writing/history-freebase-knowledge-graph.
HARVARDAcademic
Michael Brenndoerfer (2025) 'Freebase: Collaborative Knowledge Graph for Structured Information'. Available at: https://mbrenndoerfer.com/writing/history-freebase-knowledge-graph (Accessed: 11/2/2025).
SimpleBasic
Michael Brenndoerfer (2025). Freebase: Collaborative Knowledge Graph for Structured Information. https://mbrenndoerfer.com/writing/history-freebase-knowledge-graph
Michael Brenndoerfer

About the author: Michael Brenndoerfer

All opinions expressed here are my own and do not reflect the views of my employer.

Michael currently works as an Associate Director of Data Science at EQT Partners in Singapore, where he drives AI and data initiatives across private capital investments.

With over a decade of experience spanning private equity, management consulting, and software engineering, he specializes in building and scaling analytics capabilities from the ground up. He has published research in leading AI conferences and holds expertise in machine learning, natural language processing, and value creation through data.

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