Bob Kirby: Primitives for Knowledge Representation
Details
Symbolic representations decompose common sense knowledge into primitives. This presentation proposes principles for choosing more fine-grained primitive properties, relations, and combinations. John F. Sowa's categories from Charles Sanders Peirce motivate some potential primitives. The presentation diagrams the words of an example sentence "Make an application that shows the text 'Hello, world!'." as high-order logical expressions to show potential primitive usage. Processing the example with simple grammar rules and common sense information combines the individual word expressions. Limited categories of primitives are proposed along with potential development plans.
This presentation exposes current personal research in Knowledge Representation for comments.
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Bob Kirby received a Ph.D. degree in Computer Science from the University of Maryland, College Park. He continues an independent project in Knowledge Representation using his commercial background in Artificial Intelligence (Image Understanding), Expert Systems, and software development. He pursues a machine representation of common sense knowledge and natural language semantics, which is different from those typically used for the semantic web. Yet he also looks to help, as an employee ( https://www.linkedin.c... (https://www.linkedin.com/in/bobkirby) ), with existing research and development in natural language processing such as search.