基于模糊Petri网的文献知识元语义集成研究

Research on Semantic Integration of Literature Knowledge Units Based on Fuzzy Petri Nets

为提升面向用户的精细化知识服务质量及资源利用效率,提出一种基于模糊Petri网的数字图书馆标准化知识元集成方法,充分展示内容之间的语义关系。首先,引入本体与模糊Petri网技术,对数字图书馆文献知识进行获取和重组,从而构建知识元库;其次,将本体应用于知识元的语义链接,使计算机能够“理解”知识元的语义并能自动集成;最后,构建知识元模糊Petri网以规范用户和系统对概念语义的理解,清晰描述知识元概念之间的语义关系,由此消除人与计算机对语义理解的歧义。文献集成案例展示语义知识元的集成策略,案例表明该方法可以有效揭示文献内容之间的语义关联及文献之间的关联程度。

To improve the quality of user oriented refined knowledge services and resource utilization efficiency,a standardized Knowledge Units integration method for digital libraries based on fuzzy Petri nets is proposed,fully demonstrating the semantic relationships between contents.Firstly,the ontology and fuzzy Petri net technology are introduced to acquire and reorganize literature knowledge in digital libraries,thereby constructing a knowledge metabase;secondly,applying ontology to semantic linking of Knowledge Units enables computers to“understand”the semantics of Knowledge Units and automatically integrate them;finally,a Knowledge Units fuzzy Petri net is constructed to standardize the understanding of conceptual semantics by users and systems,clearly describing the semantic relationships between Knowledge Units concepts,and thus eliminating ambiguity in semantic understanding between humans and computers.The literature integration case demonstrates the integration strategy of semantic Knowledge Units,and the case demonstrates that this method can effectively reveal the semantic correlation between literature content and the degree of correlation between literatures.