Demonstrates how Knowledge Graphs enable algorithms to better analyze text by not only processing words, but also understanding the underlying concepts and their context.
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Graphwise Knowledge Hub
Demonstrates how unifying company, product, and market knowledge into a single AI-ready graph gives teams one reliable source of truth.
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GraphRAG & Semantic Search
Demonstrates how a connected, semantically powered system helps employees find precise answers in seconds instead of digging through documents – while ensuring teams reuse approved knowledge instead of recreating it.
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Biomedical Data Discovery
Demonstrates how natural language access to complex biomedical data lets researchers ask questions directly and surface relevant relationships – cutting down manual data exploration and speeding up hypothesis generation.
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Power System Digital Twin
Demonstrates how natural language interaction with complex power system data allows engineers to quickly trace grid relationships, identify issues, and access critical information – without needing to navigate multiple specialized tools.
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ESG Report Intelligence
Demonstrates how turning complex ESG disclosures into structured, explainable data allows analysts to quickly compare metrics, trace how scores are derived, and confidently support reporting and investment decisions.
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Semantic Publishing
Demonstrates how linking news content to knowledge graphs enables users to explore related topics, follow evolving stories, and receive more relevant content – turning passive reading into structured, actionable insight.
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HR Recommender
Demonstrates how connecting skills and uncovering hidden relationships helps organizations identify skill gaps, match candidates to roles more accurately, and make better training and hiring decisions.
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Ontotext Knowledge Graph
Demonstrates how structuring content with custom taxonomies and ontologies turns scattered information into a searchable, reusable asset – making it easier to find, connect, and apply knowledge across the organization.
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Risk Event Detection [RED]
Demonstrates how combining NLP and knowledge graphs transforms unstructured text into structured, semantically rich data – enabling advanced analysis and improving the prediction of risks and opportunities.
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