Interoperability is a key property of enterprise applications, which is hard to achieve due to the large number of interoperating components and semantic heterogeneity. The inherent complexity of interoperability problems implies that there exists no silver bullet to solve them. Rather, the knowledge about how to solve wicked interoperability problems is hidden in the application cases that exp...

A hybrid fuzzy knowledge-based system with crisp and fuzzy rules as well as numerical methods was developed for multiobjective optimization of power distribution system operations. The development process and knowledge acquisition process for the fuzzy knowledge-based system are described in detail. The fuzzy knowledge-based system has a four-level rule hierarchy. After a heuristic preprocessor...

Although knowledge management has been investigated in the context of decision support and expert systems for over a decade, interest in and attention to this topic have exploded recently. But integration of knowledge process design with knowledge system design is strangely missing from the knowledge management literature and practice. The research described in this chapter focuses on knowledge...

Knowledge graph is a carrier of knowledge. The knowledge completion task to predict the links between entities make more complete. Currently, method based on representation learning ignores association information each relation in multiple-step paths and direct relations, head tail entity types relations. In this study, we extract utilize these associated information, propos AiTransE model for ...

The main task of knowledge acquisition (also named extraction) from natural language texts is to extract into fragment base intelligent system. Through the induction related literature about at a home country and abroad, this paper analyses strengths weaknesses classical approach. After emphatically researching rulebased extraction technology method building ontology linguistics, article propos...