LOGIC OF DISCOVERY, DATA MINING AND SEMANTIC WEB - Position Paper

Abstract

Logic of discovery was developed in 1970's as an answer to questions "Can computers formulate and justify scientific hypotheses?" and "Can they comprehend empirical data and process it rationally, using the apparatus of modern mathematical logic and statistics to try to produce a rational image of the observed empirical world?". Logic of discovery is based on two semantic systems. Observational semantic system corresponds to observational data and statements on observational data. Theoretical semantic system concerns suitable state dependent structures. Both systems are related via inductive inference rules corresponding to statistical approaches. An attempt to modify logic of discovery to data mining was made and a framework making possible to deal with domain knowledge in data mining was developed. Possibility of enhancement of this framework for presenting results of data mining through Semantic web is suggested and discussed.