查询结果:   李智,徐展琦,丁喆,赵国强.基于本体的业务源模型知识库构建及应用研究[J].计算机应用与软件,2018,35(2):16 - 21,29.
中文标题
基于本体的业务源模型知识库构建及应用研究
发表栏目
软件技术与研究
摘要点击数
960
英文标题
RESEARCH ON TRAFFIC SOURCE MODEL KNOWLEDGE LIBRARY CONSTRUCTION AND APPLICATION BASED ON ONTOLOGY
作 者
李智 徐展琦 丁喆 赵国强 Li Zhi Xu Zhanqi Ding Zhe Zhao Guoqiang
作者单位
西安电子科技大学综合业务网理论及关键技术国家重点实验室 陕西 西安 710071     
英文单位
State Key Lab of Integrated Service Networks, Xidian University, Xian 710071, Shaanxi,China     
关键词
业务源模型 领域本体 知识表示 查询 推理
Keywords
Traffic source models Domain ontology Knowledge representation Query Reasoning
基金项目
国家自然科学基金项目(61572391)
作者资料
李智,硕士生,主研领域:网络通信。徐展琦,教授。丁喆,讲师。赵国强,硕士生。 。
文章摘要
针对当前网络业务源模型领域的知识表示及复用问题,采用本体技术实现了业务源模型领域本体的建模,形成一种标准化格式的异构信息知识库。通过分析业务源模型领域的相关知识,以改进的本体构建七步法为指导,利用Web本体语言OWL(Web Ontology Language)对业务源模型领域中的概念、属性及概念和属性之间的关系进行知识表示,将语义特征引入业务源模型知识库;利用本体查询语言和本体推理机,结合具体应用场景实现基于语义的知识检索,以验证其实用价值;在上述基础上设计开发了业务源模型智能检索系统,验证了所建本体的合理性和通用性。实验结果表明,采用本体技术能有效提高查询和推理的准确度。
Abstract
Aiming at the problem of knowledge representation and sharing of current network traffic source models area, this paper established the traffic source models domain ontology based on ontology technology and formed a standardized format of heterogeneous information knowledge library. By analyzing related knowledge of traffic source models area and using the improved ontology construction seven-step method as guidance, Web Ontology Language (OWL) was used to represent the concepts, attributes, concepts and attributes in the business source model and introduced the semantic characteristic into traffic source models knowledge library. Using ontology query language and ontology reasoning engine combined with specific application scenarios to achieve semantic-based knowledge retrieval to verify its practical value. On the basis of the above, we designed and developed an intelligent retrieval system of business source model, which verified the rationality and versatility of the built ontology. Experimental results showed that using ontology technology could effectively improve the accuracy of query and reasoning.
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