Vlasta Kůs is Lead Data Scientist at GraphAware and presented at NODES2022. Public archives contain incredible amount of knowledge. In this session, we’ll cover a real use case of building a knowledge graph for the archive of a major foundation to help empower researchers (or business analysts) to access previously unavailable levels of insights.
This archive, going up to a century back, contains detailed information about funded projects and conversations preceding them, budgets, research endeavors, and outcomes, as well as priceless knowledge about influence networks of foundation representatives, researchers, and students. A particular challenge was that the same events were described in multiple sources. The only way to leverage all of this knowledge was through the use of advanced analytics and machine learning.
We will explore the technologies (including OCR, NLP, and graph data science) and complex pipelines employed to create this major knowledge graph.
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Leverage intelligence-led policing with mission-critical graph analytics capabilities.
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Gain capabilities to act quickly, stop fraud and protect your clients and your business.
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Enable automation, learn about bad actors and their networks, and leverage predictive strategies.
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New use cases, features, and live demos designed to make analysts’ lives easier.
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Our research, philosophy and case studies, all wrapped up in books and papers.
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Discover GraphAware Hume’s features, demos, and graph technology insights.
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Review our in-depth user guides and technical documentation to ensure flawless operations.
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