Research On Key Technologies Of Knowledge Measure, Reasoning And Amalgamation In Knowledge Engineering

Along with the rapid development of information technology, knowledge in people's pockets rushingly swell. According to the recent statistics, the column of people's knowledge with which beyond 90% of economy actions now associate would double very five years. Not only for adapting to the impending development of knowledge society, but for managing and taking advantage of the power of knowledge, we must delve into the knowledge and it's development laws deeply, which are the key research topics in the field of Knowledge Engineering nowadays. As the indispensable parts in this area, the subjects of the measurement, the error-detecting and the amalgamation of knowledge not only are unvaluable amongst the theoretical researches, but at the same time all make contribute to the applications of the practical projects greatly.The thesis addresses several key technical problems of knowledge engineering and its search based on the practical requirement from research project, which covers precise knowledge and fuzzy knowledge measurement, error-detecting in knowledge reasoning model and knowledge amalgamation. Major contributions of this thesis include:1.Research on the principle of measurement of precise knowledgeWith the consideration of three factors: the number of subsets, the cardinality of each subset and the elements in each subset, three relative constrains are conculded in this thesis, which are equivalence, equal-structure and equal-potential. Based on three constrains, this thesis brings up four principles by which the measure of knowledge capcity must abide. This thesis proves the rationality of Hent and brought an new measurement of knowledge capcity which is based on the thought of distinguishability. More over, the thesis provides the measurement of the difference between two knowledge bases, and proves theoretically that new knowledge can not be incubated through the union of precise knowledge bases.2.Research on the measurement of fuzzy knowledgeThe target of the research in this thesis includes not only precise knowledge but also fuzzy knowledge. Because normal fuzzy set operations may lose the knowledge in fuzzy sets, three extended operations are defined in this thesis based on the thought of distinguishabillty. The measurement of fuzzy knowledge in fuzzy set and fuzzy sets are constructed, and the correctness of the measurement is provided by the thesis.3.Research on error-detecting in knowledge reasoning model based on least execution set.Under some certain restrictions, the mechanism of one kind of error in reasoning model is discussed in this thesis, which could lead the model to hang up. By introducing some concepts about the execution and the least execution set of node and node set, Task about judging whether nodes and model are reasonable are converted into the task of calculating the least execution set of node, and the error detecting algorithm is provided in this thesis. Theoretical analysis and experiments show that all of this kind of error in model can be detected by this algorithm.4.Research and development of multi knowledge sources amalgamating engineComparing with deficiency of existing data exchanging plaform based on XSLT, a multi-knowledge sources based amalgamating engine is designed and realized in this thesis. The mapping function is treated as the basic computing unit in this engine, and the complex mapping operation can be accomplished by the composing of several mapping functions. This engine can extract data directly from multi-XML documents, relational database and Web pages, and provide a visual tool to build model quickly. Now the engine has been taken into effect as one of key components of Shanghai E-GOV Interoperable Platform.