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Theory-based semantics is the discipline of precisely defining the meaning of concepts, ideas and thought patterns by their relationship to other concepts and ideas, based upon well-justified theory. Because meaning is represented by concept relationships, theory-based semantics is completely language independent, expressing the precise meaning held in the mind, rather than what is expressed through language.
First proposed by Richard L. Ballard, Ph.D. between 1987-1993, theory-based semantics is the governing principle of theory-based semantic systems which allows machines to reason with the same theories that humans use.
Reference Source: "Fundamental Definitions in Knowledge Science & Engineering" by Dr. Richard L. Ballard, 12/2004, self-published - course book for 1st knowledge enginering course taught at UC, Irvine, California entitled: "Creating Systems That Know." Other supporting sources are Ballard's Physical Theory of Knowledge and Computation (2006). White papers and presentations can be viewed at at KnowledgeFoundations.com.
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