Semantic modeling for artificial society in parallel emergency management system

Wei Duan, Zhi Dong Cao, Xiao Gang Qiu, Fei Yue Wang, Dajun Zeng

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

According to the requirement analysis of modeling for artificial societies in parallel emergency management systems, we propose an approach that using web ontology language to build the semantic models for artificial societies. We introduce semantic web techniques to agent-based modeling and social networks, and build the set of ontology-based concepts for emergency scenes and social networks in real world, so as to improve the intelligence and cooperation of agents. Finally, we construct the semantic models of social networks among students based on the scenario of H1N1 influenza transmissions in school to test the effect of semantic modeling and semantic inference in parallel emergency management systems.

Original languageEnglish (US)
Pages (from-to)1010-1017
Number of pages8
JournalXitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
Volume32
Issue number5
StatePublished - May 2012
Externally publishedYes

Fingerprint

Emergency Management
social network
Semantics
Social Networks
Modeling
modeling
Ontology
influenza
Requirements Analysis
Agent-based Modeling
Influenza
student
Semantic Web
Emergency
Students
Scenarios
society
Model

Keywords

  • Artificial societies
  • Emergency management
  • Parallel systems
  • Semantic agent
  • Semantic web

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Economic Geology
  • Computer Science Applications
  • Modeling and Simulation

Cite this

Semantic modeling for artificial society in parallel emergency management system. / Duan, Wei; Cao, Zhi Dong; Qiu, Xiao Gang; Wang, Fei Yue; Zeng, Dajun.

In: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, Vol. 32, No. 5, 05.2012, p. 1010-1017.

Research output: Contribution to journalArticle

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