An Associative Search Method Based on Symbolic Filtering and Semantic Orderign for Database Systems

摘要

Associative search is a key function for extracting information from databases. In this paper, we present a new associative search method with symbolic and semantic operations. This method itnegrates two kins of associative search functions. The symbolic associative search is a simple pattern-matching-based function. This function is used as the information filter which repeatedly executes pattern-matching-based comparisions between dat items. The semantic associative search function extracts sematnically related information by mathematical semantic operations based on the mathematical model of meaning which we have proposed. This function provides a context recognition mechaism for extracting semantically related information from databases. This mechanism makes it possible to put the semantically ralated data items in order, according to the correlation to the searcher's impression. The integrated associative search method realizes the advanced information extraction by combining the symbolic and semantic associative search functions.