Study On Self-parse & Matching Reasoning Prototype System Based-on Rule Engine

The essence of geographical information system(GIS) is the collection, management, analysis and visualization of the spatial data. At present, the main advanced functions of GIS primarily focus on buffer analysis and network analysis etc, lacking the decision-supporting ability to deal with the complicated, abstract, uncertain and dynamic spatial problems, as well as lacking the ability to do the knowledge expression and reasoning. Therefore, it needs to apply the knowledge expression and inference technique, search and match techniques to GIS, which will enable GIS to express logically and reason the structural or non-structural knowledge. It will expand the research realm of GIS and promote its turn to intelligence direction.This paper introduces the knowledge expression and inference technique into GIS. The knowledge expression accords to RuleML( Rule Markup Language) norm. The reasoning process uses the inference engine named NxBRE .Make a pilot study on Chinese soil taxonomy . The concrete work of this paper mainly includes the following aspects:(1) Expatiate the latest development and existing problems in the area of knowledge reasoning and rule engine techniques. Discuss the theory study on soil taxonomy and its automatic application conditions. Point out the problems in soil automation research realm and the aspects needed to improve. Analyze the main methods of knowledge expression and knowledge inference techniques, comparing the advantage and shortage of each method.(2) Summarize the construction and expression method of RuleML. With Chinese soil taxonomy index as the object, realize the transform from human natural language to computer language based on RuleML.(3) Make use of rule engine technique to complete the first-level judgment in soil classification process. First, study the structure and mechanism of the rule engine NxBRE. Then, match the fact base with rule base, which are both organized in the RuleML format, to get which order soil belongs to.