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PKGAWAS: A Knowledge Services and Allergy Early Warning System of Pollinosis Based on Cross-Border Data Integration

Authors:
Xiao Lei Xiu
Si Zhu Wu
Qing Qian
Jia Wei Cui
Xiao Kang Sun

Keywords: open data; data integration; knowledge graph; allergy early warning

Abstract:
In order to meet China’s growing demand for knowledge services and allergy early warning of pollinosis, the paper initially explores and develops a system, called “Pollinosis Knowledge Graph and Allergy Warning Analysis System” (PKGAWAS). The system’s data comes mainly from professional websites, Chinese Wikipedia and texts, which cover four fields: medicine, agriculture, forestry, and geography. In order to effectively implement multi-source data integration, this paper first uses machine and manual methods to collect data from literature, books, and websites. Then, we store the collected data in a temporary database. After the data is normalized, we store data in different categories, and then integrate the data based on the relationships between entities. Specifically, the paper uses property graph for knowledge representation of the knowledge graph, and other data are analyzed from the three dimensions of space, time, and disease. PKGAWAS not only can provide users with a full range of knowledge services and help, but also has important physical and practical significance for promoting "Healthy China 2030".

Pages: 59 to 63

Copyright: Copyright (c) IARIA, 2018

Publication date: April 22, 2018

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-631-6

Location: Athens, Greece

Dates: from April 22, 2018 to April 26, 2018