Entity Grammar Systems and Knowledge Engineering in the Background of Big Data

Abstract

Considering the current development and the trend of artificial intelligence technology in the background of big data, this paper analyzes the relationship between data and knowledge based on entity grammar system theory and presents a unified theoretical framework of machine learning and knowledge engineering and a technical framework for constructing the engineering systems. The fusion of big data system and knowledge engineering under this framework could facilitate the integration of data and the knowledge about structures, laws and artificial rules in the complex task flows. It would be possible to construct the self-evolutionary intelligent system. Even new intelligent systems can be generated from the original systems. The theoretical and technical framework proposed in this paper provides new chances for the integration of logic programming, graph database and related technology.