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基于文本挖掘的本体自动构建系统架构解析

     

摘要

Ontology is able to offer a semantic support for human-computer interaction so that it can be found wide applications in the fields of artificial intelligence, knowledge engineering and so on. However, at present ontology construction mainly uses the manual approach with disadvantage of higher construction cost, long development period, and unsure quality. This becomes a major bottleneck to hinder ontology applications. This paper presents an automatic construction system of ontology and method based on text mining, introduces in detail the functions and implementation method of the user layer, system tools layer and data resource layer in the system, and analyzes the whole system data processing flow. This system and method can be used for reference to solve the similar problems in ontology construction.%本体可以为人与计算机之间的沟通和交流提供语义支撑,在人工智能、知识工程等众多领域有着广泛的应用空间,但现阶段本体主要采用人工构建方法,投入资源大、建设周期长,且质量无法保障,这些成为制约本体应用的主要瓶颈.文中提出了一种基于文本挖掘的本体自动构建系统和方法,详细介绍了用户层、系统工具层和数据资源层中各模块的功能和实现方法,具体分析了系统数据处理的整个流程.该系统和方法对于解决本体构建问题具有借鉴意义.

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