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基于领域分析和本体的应急决策情报需求识别研究

郭路生 刘春年 魏诗瑶 陈镇涛

情报杂志2019,Vol.38Issue(1):48-53,6.
情报杂志2019,Vol.38Issue(1):48-53,6.DOI:10.3969/j.issn.1002-1965.2019.01.009

基于领域分析和本体的应急决策情报需求识别研究

Research on Intelligent Identification of Emergency Decision Intelligence Based on Domain Analysis and Ontology

郭路生 1刘春年 1魏诗瑶 1陈镇涛1

作者信息

  • 1. 南昌大学管理学院 南昌 330031
  • 折叠

摘要

Abstract

In order to solve the problem of quick and accurate identification of decision-making intelligence in emergency situations, this paper proposes an intelligent identification method for emergency decision intelligence needs based on domain a﹣nalysis and ontology. [ Method/Process] First, an emergency intelligence need analysis model is constructed, which is refined into the template of " task context-intelligence demand" , and the corresponding conceptual ontology is constructed. Then, the model is used to an﹣alyze the emergency domain needs by expert or by big data, to obtain the knowledge of the emergency intelligence needs, and the ontology is used for the instantiation description, so as to form the ontology-based knowledge base of the emergency intelligence needs. Finally, the knowledge base is used to realize intelligent recommendation of emergency intelligence needs. [Results/Conclusion]The essence of users 'emergency intelligence needs acquisition based on domain analysis is personal cognition inspired by social cognition, which makes up for personal cognitive defects caused by insufficient personal knowledge and ability, and is the application in " wartime" of domain knowledge acquired in " peacetime" . The ontological representation of domain intelligence needs is semantic, which can realize the intelligent recom﹣mendation of users'emergency decision-making intelligence needs, so as to meet the requirement of quick response of emergency decision-making intelligence.

关键词

领域分析/情报需求/应急决策/本体/知识库

Key words

domain analysis/intelligence needs/emergency decisions/ontology/knowledge base

引用本文复制引用

郭路生,刘春年,魏诗瑶,陈镇涛..基于领域分析和本体的应急决策情报需求识别研究[J].情报杂志,2019,38(1):48-53,6.

基金项目

国家自然科学基金"大数据环境下应急信息质量与信源可信度双路径作用机理研究"(编号:71663038)的研究成果之一. (编号:71663038)

情报杂志

OA北大核心CHSSCDCSSCICSTPCD

1002-1965

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