Ontotext Platform 3.1 Fosters Easier Development and Usage of Knowledge Graphs

SOFIA, Bulgaria, April 28, 2020 /PRNewswire/ -- Ontotext has released the 3.1 version of Ontotext Platform - an advanced platform for organizing enterprise knowledge into knowledge graphs. The new release packs a lot of major new capabilities and features such as easy modification of knowledge graphs via GraphQL Mutations, more comprehensive access control via fine-grained role management and single point access across multiple services via GraphQL Federation. It also adds an experimental functionality for easy generation of initial Semantic Objects models from OWL ontologies.

Knowledge graphs enable unified information across the enterprise, enriched with contextual and semantic relevance across the silos. They facilitate agile exploration and discovery of relations that reveal critical patterns and insights supporting the organization's business goals. In this way, they provide the underpinning of modern approaches to organizing machine learning input and output and enable Explainable AI.

Ontotext Platform lowers the cost and time to build and manage knowledge graphs. It combines the latest software engineering tendencies such as GraphQL-based APIs with knowledge representation principles and the RDF technology stack. At the same time, with the introduction of Semantic Objects, the Platform presents abstractions that are comfortable to business users.

With Ontotext Platform 3.1, the development of knowledge graphs is even faster. The Platform automatically generates interfaces to create, update and delete concepts from the Semantic Objects model. These graph mutation functions help focusing on what to update instead of how.

Developing company-wide knowledge graphs also requires a reliable security model. Version 3.1 includes declarative Role-Based Access Control (RBAC) to secure the company knowledge without bespoke software development. It allows security experts and administrators to define mappings between corporate directories and the Semantic Object operations.

Ontotext Platform is based on open standards and allows easy extensions. Version 3.1 brings support for extending the Semantic Objects via Apollo Federation with external services to either virtualize or integrate those services. The federation provides a mechanism to combine multiple GraphQL endpoints and schema into a single aggregate endpoint and composite schema. The federation remains transparent for the clients and allows them to fetch data from any number of sources simultaneously, without needing to know which data comes from which source. GraphQL federation allows unified access to data that are part of a knowledge graph with data from graph agnostic systems.

To reduce the learning curve for all clients who want to start using the Platform, there is a new experimental schema generation functionality that provides an easy way to generate an initial Semantic Objects model based on RDFS, OWL or schema.org ontologies. The model can be used directly in the Platform or modified and extended using the Semantic Objects Modeling Language.

Platform version 3.1 introduces significant deployment infrastructure advances: Helm charts for Kubernetes deployment that supports easy extension with custom services packaged as Docker containers. Also, it provides a command-line tool that automates the initial Ontotext Platform infrastructure configuration, reducing the complexity and errors of manual configuration, and making it more efficient. The Platform Gateway provides a centralized security point for service routing, JWT token validation, throttling and more.

Last but not least, version 3.1 improves operations infrastructure: health checks; operational dashboards for service monitoring, exploration and alerting (Grafana); efficient services for metric collection (Telegraf) and storage (InfluxDB), as well as other functionalities that are necessary for highly-available business-critical production services.

The Ontotext Platform team has many other interesting new features in store for its users, so stay tuned.

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About Ontotext

For over two decades Ontotext has brought together knowledge, data and analytics transforming how organizations identify meaning across diverse databases and massive amounts of unstructured data through knowledge graphs.

Ontotext makes tailor-made solutions across multiple sectors: media and publishing, healthcare and life sciences, government and cultural heritage, financial services and more. Their client list includes news and media agencies like the BBC and Financial Times, top Academic publishers like Elsevier, Springer Nature and Wiley, leading pharmacological companies such as AstraZeneca, public institutions including the UK Parliament, Kadastr.NL and US Department of Defense, and cultural institutions like the British Museum, The National Gallery of USA and Getty Trust.

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SOURCE Ontotext