面向网络游记文本的事理知识融合框架研究

The Framework of Travelogue Texts Knowledge Fusion Based on the Event Logic Graphs

【目的/意义】对网络中海量分散、非结构化的游记文本进行事理逻辑知识挖掘与呈现,能够实现对游记内容更深层次的理解。本文借助知识融合思想和原理构建更科学高效的网络游记文本事理知识体系。【方法/过程】首先,设计面向网络游记文本的事理知识融合框架,确立了事理知识体系构建、知识融合实现以及融合结果应用三个功能模块。接着,对框架各模块功能要素进行解析;最后,探讨面向网络游记文本的事理知识融合框架的应用场景与案例。【结果/结论】在事理知识融合框架下所构建严密的网络游记文本事理知识组织体系,能够实现网络游记文本事理的有效利用和增值。本研究具有一定的可行性,对非结构化数据的事理知识融合方式具有理论性指导和参考价值。【创新/局限】本文综合了考虑网络游记文本的事理特征表示与抽取、融合算法和推理应用三个方面的内容来架构事理知识融合框架。文中所提出的知识抽取方法精确性、融合算法质量评估等问题需要更深入地研究与细化。

【Purpose/significance】The mining and presentation of rational knowledge can further realize the semantic understanding of the text content,so as to contribute to the prediction of the later development of the event.However,with the explosive growth of net⁃work text,the phenomenon of information complexity,heterogeneity and overload has seriously interfered with the audience's accurate selection of relevant text information.Therefore,it is urgent to build a more scientific knowledge system to meet users'demands for ac⁃curate knowledge.【Method/process】Firstly,according to the characteristics of network text theory,The knowledge representation method based on the theory graph is adopted to model the knowledge of network text theory,and the theory ontology ELO is con⁃structed.Then the multi-source text data is collected based on crawler and the corpus is constructed.Meanwhile,the instance extrac⁃tion method based on pattern matching is summarized and discussed under the guidance of the theory ontology.Finally,from the per⁃spective of ontology representation,the concrete process and method of multi-source web text fusion are designed.【Result/conclu⁃sion】In the specific knowledge fusion framework,a strict knowledge organization system of web text is constructed to realize the effec⁃tive utilization and value-added of web text.This framework is feasible and has theoretical guidance and reference value for the con⁃struction and application of knowledge base.【Innovation/limitation】This paper constructs the framework of knowledge fusion by syn⁃thesizing three aspects,namely,the representation and extraction of information features,fusion algorithm and inference application of online travelogue texts.The accuracy of knowledge extraction method and quality evaluation of fusion algorithm proposed in this paper need to be further studied and refined.