基于知识图谱实现的南理工校园智能地图
南京理工大学, 计算机技术与工程学院, 江苏南京 210094
| 摘 要： | 为了实现带有语义信息的智能地图查询服务，实现多维度、多来源、多平台综合宏观地理信息查询，本文利用知识图谱技术，将不同来源、以不同格式存储于不同数据库的数据整合入南理工校园地图知识库，构造了集地理信息、声音、气味、花朵、美食等服务为一体的智能地图信息服务。本文还在IEEE上层本体标准SUMO和地理信息本体wgs84的基础上构造了智能地图本体，并用本体驱动开发了智能地图服务，最后，提供了开放的地图SPARQL前端查询接口，和查询结果的地图显示界面。验证阶段，本文利用真实南理工校园地图和声音、气味、花朵、美食数据，构建了真实的智能地图知识库，经真实知识库的SPARQL查询检测，准确率达到100%，并且SPARQL查询平均每条查询耗时5毫秒，可满足生产生活需要。 |
| 关 键 词： | 知识图谱; 本体; 地理信息服务; SPARQL |
| DOI： | 10.57237/j.cst.2023.03.004 |
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收稿日期: 2023-07-30
接受日期: 2023-08-31
在线出版日期: 2023-09-08
Ontology Driven Semantic Campus Map Application for NJUST
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| Abstract: | Intelligence GIS service is of vital importance in industry and everyday life. Semantic Web technologies, such as ontology, is the most important tool in accomplish an intelligence GIS services, capable of deal with the heterogeneity of data from different sources and interoperability between these sources. This paper proposes a prototype system that can leverage from existing ontology engineering technologies, build a prototype intelligent GIS service for the campus of Nanjing University of Science and Technology. A formal ontology is built, an open SPARQL endpoint is provided as a web service. Evaluation experiments are carried out using real-life data from campus geo locations, smell, sound, food, and blossom. It is evident from the evaluation results that the accuracy of the queries are 100%, average time overhead is less than 5 ms/query. |
| Keywords: | Knowledge Graph; Ontology; GIS; SPARQL |
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