基于时空因素综合分析的危机知识细粒度本体重构

IF 0.6 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Xiaoyue Ma, Xue Pengzhen, N. Matta, Qiang Chen
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引用次数: 0

摘要

以往对危机知识组织的研究大多集中在对危机知识的分类上,而没有考虑其动态趋势和时空特征。为了强调危机协作的动态因素,结合基于本体的时空分析,提出了一种细粒度的危机知识库模型,这是知识库组织的常用方法之一。基于本体的危机知识重构将通过三个步骤实现:分析危机知识的时空特征、重构危机知识本体和验证时空本体。在本体重构过程中,通过对危机信息资源的调查,识别出领域的主要类别和属性。同时,将在危机知识的特征表征层面实现细粒度的危机本体,包括时间关系、空间关系和语义关系。最后,我们进行了案例添加和系统实施,以验证我们的危机知识模型。这种基于本体论的知识组织方法从理论上优化了危机知识的静态组织结构,提高了知识组织的灵活性和应急响应的效率。在实践中,所提出的细粒度本体应该更符合应急协作和管理的真实情况。此外,它还将为救援过程中的决策提供知识基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fine-Grained Ontology Reconstruction for Crisis Knowledge Based on Integrated Analysis of Temporal-Spatial Factors
Previous studies on crisis know­ledge organization mostly focused on the categorization of crisis know­ledge without regarding its dynamic trend and temporal-spatial features. In order to emphasize the dynamic factors of crisis collaboration, a fine-grained crisis know­ledge model is proposed by integrating temporal-spatial analysis based on ontology, which is one of the commonly used methods for know­ledge organization. The reconstruction of ontology-based crisis know­ledge will be implemented through three steps: analyzing temporal-spatial features of crisis know­ledge, reconstructing crisis know­ledge ontology, and verifying the temporal-spatial ontology. In the process of ontology reconstruction, the main classes and properties of the domain will be identified by investigating the crisis information resources. Meanwhile the fine-grained crisis ontology will be achieved at the level of characteristic representation of crisis know­ledge including temporal relationship, spatial relationship, and semantic relationship. Finally, we conducted case addition and system implementation to verify our crisis know­ledge model. This ontology-based know­ledge organization method theoretically optimizes the static organizational structure of crisis know­ledge, improving the flexibility of know­ledge organization and efficiency of emergency response. In practice, the proposed fine-grained ontology is supposed to be more in line with the real situation of emergency collaboration and management. Moreover, it will also provide the know­ledge base for decision-making during rescue process.
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来源期刊
Knowledge Organization
Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.40
自引率
28.60%
发文量
7
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