Presentation: Hybrid Use of Machine Learning and Ontology

N2Semantics founder and principal Tony Sarris gave this presentation at Enterprise Data World 2018 on the topic of building intelligent systems using a hybrid approach that combines statistical-based machine learning with knowledge-based models (e.g., knowledge graphs, taxonomies or ontologies). Use the contact request below if you'd like to discuss this topic with Tony or find out how to apply this approach to building intelligent solutions for your specific use cases.

Hybrid Use of Machine Learning and Ontology

What We Do

Whether driven by formal ontologies/taxonomies/knowledge graphs, semantic web schemas and markup, the results of text analytics and machine learning using big data, dynamically-generated semantic networks or any combinations of these, semantics can provide added value and differentiation for both existing applications and emerging applications such as bots, virtual assistants and intelligent software agents. We think the time has come for applications to get into semantics and at N2Semantics we help our clients -- enterprises and web, mobile and social startups -- do just that in ways that are both innovative and practical. We provide technical advisory services from strategic planning for the use of semantic technologies to architecture, design and development support.

Why the Name N2Semantics?

The name N2Semantics has two meanings. First, it simply conveys that we're deeply into the field of semantics and believe our clients will benefit from employing semantic technologies in their applications and products. Second, it refers to N200 or N2 semantics in the field of cognitive science. These are the neural components responsible for cognition, including language processing. For more see: N2 Neuroscience.