基于粒度计算理论的知识融合模型研究

为了解决分布和多源知识的融合与创新问题,提出受控分众分类法,分类结果提高了知识资源的标注精度,降低了知识组织成本。此外,为了消除本体模块间的异构,构建语义一致的领域本体,将粒度计算理论引入知识融合领域,提出微商空间法,对本体模块进行分解与重构,结果使得构建的领域本体更加简洁和语义一致。最后,采用实证分析的研究方法,利用Protégé本体编辑工具对提出的方法进行验证,结论表明该方法是有效的。

Knowledge fusion model research based on granular computing theory

In order to solve the problem of knowledge fusion and innovation from multiple distributed sources, this paper proposed controlled folksonomy. The result improved tagging precision of knowledge resources and reduced the cost of know-ledge organization. Furthermore, in order to eliminate the heterogeneity of ontology modules and construct the domain ontology with consistent semantic, it proposed quotient-let space methods. It applied granular computing theory in the field of knowledge integration. Quotient-let space method decomposed and reconstructed the distributed ontology modules to form domain ontology with simplicity and semantic consistency. Finally, it adopted an empirical analysis to verify the proposed method by Protégé. The conclusion shows that themethod is effective.