The Cognitive Software Group, an Australian research and development company based in Sydney, has released an update to its cognitiveAI Platform, which utilises Semantic computing, NLP and Machine Learning.

This platform promises the ability to enrich the semantics of data collected from disparate data sources and enables a computer to understand its context and meaning. A computer can then undertake much of the heavy lifting usually performed by data analysts.

The company has developed a modular architecture for the cognitiveAI Platform to allow individuals and organisations the freedom to customise their own cognitive computing solution, built on or integrated with their existing systems.

The cognitiveAI Platform has two key Suites:

• The Data Management Suite ingests data from multiple sources and stores the data as RDF Triples in a Semantic Graph database. The suite also manages the retrieval of this semantic data and automatically creates an ontology from the original data structure
• the Knowledge Management Suite, is designed to develop, store and manage Ontologies “which stores a set of concepts and categories in a subject area or domain that shows their properties and the relations between them.”

The Knowledge Management Suite allows users to safely prune unwanted concepts and axioms; validate existing, new or refined ontologies; and import, store and share these ontologies via the Library.

“The Knowledge Management Suite is an industry driven set of components closing the gap between theory and practice” said Dr Dzung Le, Cognitive Software’s Chief Data Scientist.

This Knowledge Management Suite allows subject matter experts and organisations the opportunity to familiarise themselves with various ontologies and their concepts in order to achieve contextual data analysis. Through this suite, users will navigate their way through complex processes as well as allowing users to collaborate effectively with their peers.

The Cognitive Software team claims that knowledge management tools are scarce, and the tools currently available are very technical and counterintuitive.

Publicly available ontologies exist in many fields of knowledge and can be utilised to generate context-driven queries, however these can be very large and extremely complex. In order for the greater population to adopt these technologies such as ontologies and RDF, Cognitive Software group experts say that intuitive, user-centric applications must be made available.

https://www.cognitivesoftware.com/cognitive-ai-platform-as-a-service