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AI-SDV 2022: Copyright Clearance Center
The document discusses the use of knowledge graphs to identify qualified experts and key opinion leaders in various research domains, facilitating access to interconnected data. It emphasizes enhancing the discoverability of content by breaking down information silos and integrating multiple data sources. Additionally, it highlights the importance of providing normalized XML format access to scientific literature, enabling enriched insights for AI, machine learning, and data visualization projects.
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AI-SDV 2022: Copyright Clearance Center
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- 2. CCC Expert View Drawactionable learnings from a large volume of interconnected data to identify qualified experts in a domain of research. • Find information on qualified experts • Discover KOLs for a topic of interest • Explore an expert’s network
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- 4. RightFind Navigate Make contentmore discoverable and accessible. • Break down information silos • Integrate multiple data sources • Use a single intuitive userface
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- 6. RightFind XML Powering AIdiscovery with scientific articles. • A single point of access to full-text journal article content in normalized XML format across a wide range of leading STM publishers. • Choose from a variety of flexible models to access normalized, full-text scientific literature in XML format, licensed for commercial text and data mining. • Enrich AI, machine learning and data visualization projects with insights that can only be found in the full text of scientific articles.
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