Ontotext, a global leader in enterprise knowledge graph technology and semantic database engines, has released GraphDB 9.8 which offers text mining integration, notifications over Kafka, Helm charts, and performance improvements.
The GraphDB text mining plugin integrated text mining algorithms and allows for generating new relationships between entities with no need for coding or developing bespoke solutions and integration code.
The plugin provides support for popular text analytics services such as Ontotext’s Tag API, GATE Cloud, and spaCy server, as well as an expressive mapping language for registering new services without coding. The extracted text annotations can be manipulated with SPARQL and either returned to the caller for further processing or stored directly into the repository where they will enrich the existing knowledge graph. This functionality covers a number of use-cases that rely on both RDF and text analytics.
GraphDB 9.8 comes with standard Helm charts and instructions that can help with GraphDB Enterprise Edition on Kubernetes. Every component is created with sensible defaults and is very easy to customise to meet specific needs. The Helm charts are open source and provided as a reference for setting up complex GraphDP deployments.
Ontotext technology and solutions are spread wide across the value chain of the most knowledge-intensive enterprises in financial services, publishing, healthcare, pharma, manufacturing and public sectors. Leveraging AI and cognitive technologies, Ontotext helps enterprises get a competitive advantage, by connecting the dots of their proprietary knowledge and putting it in the context of global intelligence.
Ontotext has its headquarters in Bulgaria, and most of its revenue comes from big corporations across US, UK, Mainland Europe and Asia and partners with 5 of the biggest IT Services companies on Earth.
