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基于语义关系的高速铁路领域本体集成与推理

Research on High-speed Railway Ontology Integration and Reasoning Based on Semantic Relationships

【作者】 张琼

【导师】 苟娟琼;

【作者基本信息】 北京交通大学 , 信息管理, 2010, 硕士

【摘要】 本体作为一种能在语义和知识层次上描述信息系统的类模型建模工具,本质目的是领域知识的共享和重用。本体集成是为了解决不同本体之间的共享和交流,常应用于本体异构的情况,即不同的本体构建者对同一领域构建本体时,对概念进行了不同的语义划分。高速铁路领域由运营调度、通信信号、牵引供电、基础设施、动车组、客运服务等不同的专业领域构成,通用的本体集成方法不适用。为了将分别构建的各个专业子领域本体集成,本文以高速铁路为研究和应用对象,分析了以高速铁路为代表的技术系统组成,根据系统科学的观点,提取出其中以物质资源为导向,能量资源为动力,人类社会生活为交互的集成关系分类——物质、能量、信息三大关系,并以此为依据确定了高速铁路领域中各个子领域本体之间的关系。其次,按照本体的组织方式,基于本体信息集成中的单本体方法和多本体方法,本文提出基于本体视图的集成方法并构建高速铁路领域本体集成视图,将动车组本体和牵引供电本体进行集成。最后,设计了融合文件存储及关系数据库存储的混合本体存储模式,并把所集成的本体应用到文献资料库与专题数据库集成的高速铁路知识服务平台中,实现了五种方式的语义扩展查询及推理,从而实现了高速铁路知识的智能检索,为用户提供了更全面、有效的服务。本文提出的高速铁路本体集成相关理论和方法可借用于其他类似的多专业构成的技术系统领域,对面向信息资源集成的本体构建与信息服务组合研究具有借鉴参考价值。

【Abstract】 As a modeling tool able to describes the domain concept in the semantic and knowledge level, the essential objective of ontology is knowledge sharing and reusing. Ontology integration is to make sharing and exchanging between different bodies, often applied to the ontology heterogeneity, which is different ontology constructs carry on different semantic division to the identical domain ontology concepts in their constructions. The high-speed railway area is composed of several different fields, such as operation management, signal and communication, traction power supply, infrastructure, emu, passenger service and so on, and the normal integration approach is not applicable.In order to integrate multiple major domains, this article takes the high-speed railway area as study and apply object, analyzes composition of technical systems and withdraws three integrated relation classification-material, energy and information, on that basis, establishes relationships between the various sub-areas.Secondly, in accordance with the organization of ontology, this article proposes a view-based integration method based on single and multiple approach of ontology information integration, and then builds an integrated view of high-speed railway, which combines the emu ontology and traction power supply ontology.Ultimately, the article designs a multi-storage schema combined the method of owl storage on the basis of document and relational databases, applies the ontology in the knowledge service platform that integrated document library and specific database, and then realizes intelligent search of high-speed railway knowledge, providing users with a more comprehensive and efficient service by semantic expand retrieval in five ways.The ontology integration method on high-speed railway area can be used in other similar technical areas which consist of several major fields; it has reference significance to the research towards the integration of information resources and information services composition.

  • 【分类号】TP391.1
  • 【被引频次】7
  • 【下载频次】252
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