Semantic Approach to Knowledge Processing

The processing of semantic information requires the adequate knowledge representation and ability to interpret semantically related knowledge. The majority of present day approaches to knowledge representation and processing are based on symbolic approach, i.e. on describing the meaning of represented domain knowledge and procedural knowledge used to process this domain knowledge. Hierarchical Semantic Form (HSF) implements the semantic approach to semantic knowledge representation and processing, which is not based on naming as a means to describe the meaning of the knowledge, but on semantic contexts that enable an implicit way to define the meaning of represented knowledge, and on simple and complex semantic categories used to interpret the semantics of represented knowledge. HSF facilitates the automatic translation of knowledge expressed in natural language into structured form and vice versa with no loss of information and its processing including natural language understanding, semantic search and question answering. Key-Words: Semantic Knowledge Processing, Knowledge Representation, Connectionist Model, Question Answering