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IEICE TRANSACTIONS on Information

Pattern-Based Ontology Modeling and Reasoning for Emergency System

Yue TAN, Wei LIU, Zhenyu YANG, Xiaoni DU, Zongtian LIU

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Summary :

Event-centered information integration is regarded as one of the most pressing issues in improving disaster emergency management. Ontology plays an increasingly important role in emergency information integration, and provides the possibility for emergency reasoning. However, the development of event ontology for disaster emergency is a laborious and difficult task due to the increasingly scale and complexity of emergencies. Ontology pattern is a modeling solution to solve the recurrent ontology design problem, which can improve the efficiency of ontology development by reusing patterns. By study on characteristics of numerous emergencies, this paper proposes a generic ontology pattern for emergency system modeling. Based on the emergency ontology pattern, a set of reasoning rules for emergency-evolution, emergency-solution and emergency-resource utilization reasoning were proposed to conduct emergency knowledge reasoning and q.

Publication
IEICE TRANSACTIONS on Information Vol.E101-D No.9 pp.2323-2333
Publication Date
2018/09/01
Publicized
2018/06/05
Online ISSN
1745-1361
DOI
10.1587/transinf.2017EDP7383
Type of Manuscript
PAPER
Category
Artificial Intelligence, Data Mining

Authors

Yue TAN
  Shanghai University
Wei LIU
  Shanghai University
Zhenyu YANG
  Shanghai University
Xiaoni DU
  Xidian University
Zongtian LIU
  Shanghai University

Keyword