Ontology 5 Platform

Ontology 5 is the powerful graph-based semantic modelling and data alignment platform that powers Ontology Systems’ products and industry solutions.

Ontology 5 represents the next generation of data linking and modelling, wherein companies and organisations can join up the structured data currently locked inside enterprise applications to find for those entities that really matter to business– customers, equipment, contracts, products, invoices, infrastructure and services. Ontology 5 then links them to the rest of the data that exists across the enterprise – without the need for expensive, time consuming traditional data integration.

Ontology 5 is fast, affordable and, thanks to Ontology Systems’ agile delivery approach and pay-as-you-go commercial options, is also very low risk to businesses.

Ontology 5 Platform 

The Ontology 5 platform consists of the Ontology Runtime and the Ontology Modeller.

Ontology 5 Runtime

The Ontology 5 Runtime is the server-side of the Ontology 5 Platform and hosts the Semantic Processing Core on top of which products such as Ontology Intelligent 360 for Network Operators (and the associated Dynamic Network Topology Model) are built.

It manages data ingestion and rules processing, matches and joins data, computes the consequences of real-time changes to the model and runs user searches. Its outputs are semantic models populated with data from disparate, varied data sources in the enterprise, which it serves to the Ontology Web UI and, through the Ontology Query API, to third party applications and processes.

Ontology 5 Modeller

The Ontology 5 Modeller presents a complete semantic modelling, configuration and management interface to Solution Implementers and Data Analysts.

Solution Implementers use it to configure how the Semantic Processing Core finds, links and aligns data about your business such as customers, equipment, contracts, products, invoices, infrastructure and services in order to combine it into a semantic model of your business domain.

Data analysts use it to explore and interrogate data about the business in order to understand how entities across data sources are correlated, how well data conforms to expectations, where data quality and integrity issues exist and how they impact day to day operations and business processes.

Ontology 5 takes an alternative approach to data integration and the result is a fast, low-risk, flexible way to join up difficult, complex enterprise data and unlock its value. Read more about why you should use Ontology 5.

Semantic Processing Core 

The Semantic Processing Core searches through your data sources to construct a dynamic semantic model of a particular domain.

The Semantic Processing Core searches through your data sources to construct a dynamic semantic model of a particular domain – for example, the Dynamic Network Topology Model of telecommunications networks.

The data sources comprise whatever is necessary to get a full picture of the entities that really matter to business– customers, equipment, contracts, products, invoices, infrastructure and services.

This is data spread out over many varied sources that are in a state of continuous change as your business and services evolve. This makes for an extremely challenging environment for traditional data integration approaches – a challenge that they mostly fail to live up to.

The Ontology Semantic Processing Core uses semantic modelling combined with the extreme flexibility of schema-less graph-based data representation to sidestep traditional cumbersome, risk-laden and expensive data integration projects and provide a robust way to construct comprehensive models of a business domain.

Unlike traditional databases, graphs stores can represent and manage data that does not conform to a model. This gives Ontology 5 inherent data governance capabilities to track both the quality of incoming data, but also of the fit of the existing model to the real world situation it represents – providing early visibility of “drift” caused by things like infrastructure changes that were not accounted for in the model design. Ontology’s agile semantic modelling capability then makes it easy and inexpensive to update the model.