Ontotext Platform

Ontotext Platform makes data management and analytics work in synergy:

Connect and publish complex enterprise knowledge with standard-compliant semantic graph database;
Customize and apply analytics to link documents to graphs, extract new facts, classify and recommend content;
Access data via GraphQL to ease application development.

Why Choose Ontotext Platform?

Connect data into reusable knowledge graphs;
Accumulate data preparation efforts by describing and linking data to make it easy to find and use for further analytics;
Apply better knowledge governance and quality using graph and semantic technology stack.

Use an architecture based on open standards for connecting information architects with software developers;
Expose GraphQL access to semantic models;
Preserve the full complexity of the ontology models.

Develop and maintain knowledge graphs from diverse data. Continuously integrate, normalize and interlink data from diverse sources, and maintain data quality upon updates.
Automatically generate GraphQL access from ontologies. Declare simplified information views to ease data consumption and implement access control.
Generate semantic metadata and extract knowledge. Use text analysis to extract knowledge from unstructured documents and generate semantic metadata.
Efficiently generate SPARQL queries. No need to write and optimize complex queries.
Easily integrate applications, including non-semantic sources. Federation, schema stitching and data virtualization.

Adopt developer friendly tooling. Implement user interfaces directly from the shape of data, minimizing the information payload by using a rich ecosystem of developer tools.
Use authorization and authentication. Apply a generic model for controlling information access.
Make use of high-availability, query and search via GraphDB. Employ the most robust database engine for knowledge graphs, featuring reasoning, semantic similarity and ranking.
Scale data, query and transaction loads via integration with ElasticSeach and MongoDB.
Run a cloud-agnostic deployment with Kubernetes. Spin up development and production environments in minutes.