Design of Knowledge Query for NKI-Tutor

NKI-Tutor is an application system for national knowledge infrastructure (NKI), aiming at tutoring users how to acquire knowledge from the giant knowledge engineering system. It is important that the NKI-Tutor ought to provide variety communication interfaces. This paper proposes an interface, which is content-based query. This interface has three significant features: analyzing the different types of knowledge query, and collectioning the query sentence templet; mapping of knowledge queries into the CR model; and gaining the feedback of queries with intelligentied splitword and fuzzy matching.