Knowledge graphs for data intelligence
Generate a 360° view of your assets and the relationships between them, enabling smarter discovery, governance, and analytics.
Knowledge graphs organize entities, relationships, definitions, and business context to create meaningful connections across enterprise data. Data intelligence provides the metadata, lineage, governance, observability, and semantic understanding required to build, maintain, and operationalize knowledge graphs at scale.
Because knowledge graphs rely on accurate, trusted, and well-governed data, data intelligence ensures that graph nodes, relationships, and semantic layers remain complete, current, and aligned with business meaning.
Actian Data Intelligence Platform supports enterprise knowledge graphs by unifying metadata, governance, lineage, and trust signals into a single intelligence layer that improves discovery, governance, and business understanding.
What is a knowledge graph?
A knowledge graph is a dynamic network that represents your data ecosystem as interconnected objects and relationships. It reveals the relationships between datasets, business processes, users, systems, and organizational goals. This interconnected structure transforms static metadata inventories into living maps that automatically capture meaning, context, and dependencies across your entire data landscape.
Get rich and in-depth search results
Actian Data Intelligence Platform’s powerful enterprise knowledge graph provides deeper and more relevant results of concepts, entities, and the relationships between them. Fueled by machine learning, our solution not only integrates the standard, flat indexation of metadata but is also powered by an NLP layer, a semantic layer analysis, and a personalization layer that relies on user classification. Our technology understands complex searches found in multiple items using the relationships defined in the graph.
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Optimize data discovery across your enterprise
Our knowledge graph software helps teams visualize and understand their enterprise data landscape. Our solution automatically identifies, classifies, and tracks data based on contextual factors – enabling you to map assets to key concepts to make them discoverable and accessible for risk management and regulatory compliance, or dig deeper into the data to uncover hidden relationships and patterns.
Find, Trust and Unlock the Value of Your Data
Easy to set up. Easy to use. Easy to scale. Schedule to meet with one of our data experts to:
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FAQ
A knowledge graph is used to connect and contextualize data by linking entities, concepts, and relationships. It enables smarter data discovery, enhances metadata management, supports AI and analytics, and drives better governance across the enterprise. Actian’s enterprise knowledge graph helps unify siloed information and surface insights at scale.
Creating a knowledge graph involves defining your domain and identifying the entities (people, places, concepts) and relationships you want to capture and enrich it with semantic metadata that creates connections. With modern knowledge graph software like the Actian Data Intelligence Platform, organizations can automate much of this process — from ingestion and classification to building knowledge graphs using machine learning and user-driven insights.
In natural language processing (NLP), a knowledge graph helps systems understand text by linking unstructured language to structured concepts. Actian combines semantic layer analysis, NLP, and contextual metadata to improve entity recognition, relevance, and accuracy in search and discovery experiences.
Yes, knowledge graphs are more important than ever with the rise of generative AI, as knowledge graphs help provide structured context and reduce hallucinations in large language models. Actian’s enterprise knowledge graph software is designed to meet today’s demands for scalable, metadata-driven intelligence across business and technical domains, creating AI-ready data.
Using a knowledge graph allows organizations to uncover hidden relationships, improve data discovery, accelerate governance, and deliver richer context to analytics and AI applications. Actian’s knowledge graph tools provide a flexible, intuitive foundation for connecting enterprise data to business outcomes.