语义物联网中本体和签名图结合的传感器查询
发布时间：2018-10-09 18:52
【摘要】：物联网是指使用网络将任何人和事物不受时间、地点限制进行连接,是网络未来的发展趋势。语义物联网是物联网的一种改进形式,它使用语义网技术有效地解决网络中资源异构的问题。随着物联网的快速发展,作为基础设施的传感器被大量部署。如何支持用户从大量的传感器中查询到能够满足实际需求的传感器是语义物联网最重要的功能之一。然而,目前的传感器查询方法不能有效利用传感器信息的语义和数据特点进行查询。针对以上问题,本文提出一种语义物联网中本体和签名图结合的传感器查询方法。该方法利用情境相关的传感器本体对传感器信息进行语义标注,使传感器信息格式统一、规范,且情境相关的语义信息能够描述传感器的状态,有利于查找到最能满足用户需求的传感器;借助传感器本体的知识结构将关键字查询转换成结构化查询,使得查询结果更加准确,且不需要用户了解具体的转换细节和掌握相关的查询技术;根据传感器信息通常表示成RDF格式且具有不确定性的数据特点,利用基于签名图的查询方法和阈值算法,提高查询效率。依据上述提出的方法设计并实现了传感器查询系统。设计部分详细说明系统的数据流图和数据库表;实现部分介绍系统的开发平台、工具和实现步骤,并展示实现界面;实验部分将提出的传感器查询方法与现有的传感器查询方法进行比较,结果表明,本文所提出的方法在查准率和查询效率方面具有一定的优势。
[Abstract]:The Internet of things refers to the use of the network to connect anyone and things without time and place constraints, which is the future development trend of the network. Semantic Internet of things is an improved form of the Internet of things, it uses semantic Web technology to effectively solve the problem of heterogeneous resources in the network. With the rapid development of the Internet of things, sensors as infrastructure are deployed in large numbers. How to support users to query from a large number of sensors to sensors that can meet the actual needs is one of the most important functions of the semantic Internet of things. However, the current sensor query methods can not effectively utilize the semantic and data characteristics of sensor information to query. Aiming at the above problems, this paper proposes a sensor query method which combines ontology and signature graph in semantic Internet of things. The method uses context-related sensor ontology to label the sensor information, which makes the sensor information format uniform and standardized, and the context-related semantic information can describe the state of the sensor. It is helpful to find the sensor that can best meet the needs of users, and convert keyword query into structured query by means of the knowledge structure of sensor ontology, which makes the query result more accurate. It does not require the user to know the details of the conversion and master the relevant query techniques. According to the characteristics of the sensor information usually expressed as RDF format and uncertain data, the query method based on signature graph and the threshold algorithm are used. Improve query efficiency. The sensor query system is designed and implemented according to the method mentioned above. In the design part, the data flow diagram and database table of the system are described in detail, the development platform, tools and implementation steps of the system are introduced in the realization part, and the realization interface is displayed. In the experiment part, the sensor query method is compared with the existing sensor query method. The results show that the proposed method has some advantages in precision and query efficiency.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.44;TN929.5;TP212
本文编号：2260408
[Abstract]:The Internet of things refers to the use of the network to connect anyone and things without time and place constraints, which is the future development trend of the network. Semantic Internet of things is an improved form of the Internet of things, it uses semantic Web technology to effectively solve the problem of heterogeneous resources in the network. With the rapid development of the Internet of things, sensors as infrastructure are deployed in large numbers. How to support users to query from a large number of sensors to sensors that can meet the actual needs is one of the most important functions of the semantic Internet of things. However, the current sensor query methods can not effectively utilize the semantic and data characteristics of sensor information to query. Aiming at the above problems, this paper proposes a sensor query method which combines ontology and signature graph in semantic Internet of things. The method uses context-related sensor ontology to label the sensor information, which makes the sensor information format uniform and standardized, and the context-related semantic information can describe the state of the sensor. It is helpful to find the sensor that can best meet the needs of users, and convert keyword query into structured query by means of the knowledge structure of sensor ontology, which makes the query result more accurate. It does not require the user to know the details of the conversion and master the relevant query techniques. According to the characteristics of the sensor information usually expressed as RDF format and uncertain data, the query method based on signature graph and the threshold algorithm are used. Improve query efficiency. The sensor query system is designed and implemented according to the method mentioned above. In the design part, the data flow diagram and database table of the system are described in detail, the development platform, tools and implementation steps of the system are introduced in the realization part, and the realization interface is displayed. In the experiment part, the sensor query method is compared with the existing sensor query method. The results show that the proposed method has some advantages in precision and query efficiency.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.44;TN929.5;TP212
【参考文献】
相关期刊论文 前2条
1 袁凌云;王兴超;;语义技术在物联网中的应用研究综述[J];计算机科学;2014年S1期
2 黄映辉;李冠宇;;语义物联网:物联网内在矛盾之对策[J];计算机应用研究;2010年11期
，本文编号：2260408
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