학술논문

Design and Construction of Geographic Knowledge Graph
Document Type
Conference
Source
2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Information Technology and Artificial Intelligence Conference (ITAIC), 2020 IEEE 9th Joint International. 9:2252-2256 Dec, 2020
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Virtual assistants
Web and internet services
Natural languages
Ontologies
Internet
Data mining
Unsupervised learning
geographic knowledge graph
geographic ontology
entity and relation extraction
knowledge fusion
Language
ISSN
2693-2865
Abstract
Since proposed by Google in 2012, knowledge graph has become the backbone of many intelligent systems, such as Apple Siri, IBM Watson and many other renowned Intelligent Natural Language Question Answering System(INLQAS). A geographic knowledge graph can be integrated into Google Maps, Baidu Maps and other similar systems to increase the intelligence of map services and achieve better performance of human-computer interaction. In this paper, The framework of a geographic knowledge graph is constructed. Based on the framework, the geographic ontology is studied first and then a geographic knowledge graph is established through processes of geographic entity and relation extraction, knowledge fusion and storage. Finally, a case study of geographic knowledge query is given to validate the effectiveness of the geographic knowledge graph.