计算机工程与应用 ›› 2020, Vol. 56 ›› Issue (11): 149-155.DOI: 10.3778/j.issn.1002-8331.1902-0170

• 模式识别与人工智能 • 上一篇    下一篇

基于多层领域本体的知识表示通用模型研究

李金海,何有世,马云蕾,周爱平   

  1. 1.泰州学院,江苏 泰州 225300
    2.江苏大学 管理学院,江苏 镇江 212013
    3.东南大学 计算机网络与信息集成教育部重点实验室,南京 211189
  • 出版日期:2020-06-01 发布日期:2020-06-01

Research of Universal Model for Knowledge Representation Based on Multi-layer Domain Ontology

LI Jinhai, HE Youshi, MA Yunlei, ZHOU Aiping   

  1. 1.Taizhou University, Taizhou, Jiangsu 225300, China
    2.School of Management, Jiangsu University, Zhenjiang, Jiangsu 212013, China
    3.Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing 211189, China
  • Online:2020-06-01 Published:2020-06-01

摘要:

随着复杂信息系统涉及的知识领域越来越广泛,传统的基于领域本体以及基于关键词的知识表示模型,当处理多领域异构知识的共享与重构时,表现出异构信息有效组织及准确检索的不足。针对此问题,提出了基于多层领域本体的知识表示通用模型,借鉴顶层本体提供的上层语义知识,整合各领域的本体知识,并详细分析了由顶层本体、上层本体、应用本体、实例本体组成的多层领域本体的各层本体的构建流程。仿真实验通过与基于传统领域本体以及基于关键词的知识表示模型的对比分析,分别于一个以及多个领域知识的视角下,验证了基于多层领域本体的知识表示通用模型的有效性。

关键词: 多层本体, 顶层本体, 异构信息, 语义关系, 知识表示

Abstract:

As complex information system involving knowledge more and more widely, in the face of multi-field heterogeneous knowledge sharing and refactoring, the knowledge representation model based on traditional domain ontology and based on keywords shows the lack of effective organization and accurate retrieval for heterogeneous information. For this problem, the paper presents a universal model for knowledge representation based on multi-layer domain ontology. Referring to the upper semantic knowledge of the upper-ontology, the knowledge ontology of various areas is integrated. Then, the paper analyzes the construction process of each layer in detail. In the perspective of the single domain knowledge and multiple domain knowledge respectively, simulation experiments verify the effectiveness of universal model for knowledge representation based on multi-layer domain ontology through contrastive analysis with knowledge representation model based on traditional domain ontology and based on keywords.

Key words: multi-layer ontology, upper-ontology, heterogeneous information, semantic relation, knowledge representation