A knowledge graph is a model which is a collection of linked concepts, entities, relationships and events supporting highly complex decision-making by considering expert knowledge from different domains.
Glued by semantic technology, it has the potential to merge all kinds of data, analyse relationships, detect patterns and infer new facts from the enriched datasets.
It enables to capture the context and semantoics of data into a data model representing your domain, turning data into knowledge.
Knowledge graphs can enable you to have unified access to lots of diverse data allowing you to query and gain insights at scale.
Our domain specific taxonomies and vocabularies help populate a semantic model of a knowledge graph allowing for better analysis of documents and providing insights
By using Textofia's data model for several domains and built-in reasoning engine, you will be able to create and organise data based in ontologies and infer new knowledge. This makes it easy to integrate heterogeneous data sources and gain new insights from them. The knowledge graph help organisations to become knowledge driven with actionable insights to make business decisions in full context.
