Knowledge modeling based on ontology for disaster warning information release technology of urban industrial disaster

Huixin Yuwen, Xueqiu He, Xinmin Qian, Mengqi Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The author uses the concept about human disaster early warning which was defined by the United Nations International Disaster Reduction Strategy (ISDR), according to the present situation of urban industrial disaster early warning information released, the author uses the method of knowledge acquisition to obtain the relationship between the main concepts and concepts of the urban industrial disaster warning information release technology events. The authors use ontology modeling tool protégé to establish knowledge model of urban industrial disaster warning information publishing technology based on ontology, and studied the knowledge model. Research results show: the knowledge model is built to describe the semantic relations between knowledge points, conceptual relations are closely related, support for reasoning on semantic logic, strong expansibility.

Original languageEnglish
Title of host publicationProceedings - 2016 International Conference on Network and Information Systems for Computers, ICNISC 2016
EditorsShuliang Wang, Zhihong Qian
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages287-297
Number of pages11
ISBN (Electronic)9781467388382
DOIs
Publication statusPublished - 2 Jul 2016
Event2016 International Conference on Network and Information Systems for Computers, ICNISC 2016 - Wuhan, China
Duration: 15 Apr 201617 Apr 2016

Publication series

NameProceedings - 2016 International Conference on Network and Information Systems for Computers, ICNISC 2016

Conference

Conference2016 International Conference on Network and Information Systems for Computers, ICNISC 2016
Country/TerritoryChina
CityWuhan
Period15/04/1617/04/16

Keywords

  • Early warning information release
  • Knowledge acquisition
  • OWL
  • Ontology modeling
  • Urban industrial disaster

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