Design of Database Interface to ILP for building knowledged base.

概要

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One of the current interests in machine learning is whether its techniques can be successfully used in knowledge acquisition, which would be it justification from the engineering point of view. A new school of machine learning called inductive logic programming (ILP) has been recently growing and many attempts have been made applying its new techniques to problems in various fields : design of medicine, genome analysis, medical diagnosis and so on. This means that many inductive logic programming applications have been developed as machine learning systems, inductive learner. Further, because of employing background knowledge, ILP may represent a breaking of the "Feigenbaum" bottleneck of knowledge acquisition or knowledge discovery. However, for naive users, it is not easy to apply the system to their own problems. If naive users could apply ILP systems to extract rules or hypotheses as clauses, they could then them as input data for knowledge bases.
一般社団法人情報処理学会の論文
1995-09-20