We talk a lot of about semantic technology and machine learning here. But what do they mean exactly? In linguistics, meaning has two distinct branches or categories: semantic meaning and pragmatic meaning. Semantics belongs to the first category and helps us understand the meaning of words by their relationship to other words. Quora brought this interesting information to our attention in their article, “What is the difference between semantics and meaning?“
Machine learning is a well-established sub-field of computer science and the machine learner, i.e. the computer, is like a student.
The goal of machine learning is to develop models that will prove useful in the future when dealing with large, often unwieldy data sets.
Content intelligence within an enterprise can leverage the human intelligence within that data to generate new revenue streams, increase productivity and save money. It increases findability as well.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
