When I went to Text Analytics World in San Francisco earlier this month, I was struck at how many of the presenters, particularly consultants, ended their talks describing future directions of text analytics as something that sounded so familiar. They described what would be possible once there's advanced maturity in ontologies, the breaking down of siloes, entity and relationship resolution by multiple methods, and automated linking of it all together into semantic network models of knowledge: flexible exploration of the relevant. They made it sound like a bit of a stretch, almost pie in the sky, but what they briefly described as this destination was curiously similar to what was shown concretely in the last presentation of the conference, my own.
Happy New Year !!
At Cambridge Semantics we use the W3C semantic web standards to create conceptual canonical data models, in particularly using the web ontology modeling language called OWL. The conceptual models are declarative and express information in the way that the domain expert or business user, understands it – usually as a series of interlinked concepts and properties. Unlike most traditional technologies, these conceptual models are independent of how data is stored and provide an abstraction sometimes called “a semantic layer” for our Anzo software.
The result is unprecedented flexibility.