کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
382975 660799 2016 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A metamodel-based knowledge sharing system for disaster management
ترجمه فارسی عنوان
سیستم به اشتراک گذاری دانش مبتنی بر متامدل برای مدیریت بحران
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• We implement a knowledge sharing system for DM.
• We use a unifying metamodel as the basis to represent all knowledge stored in the system.
• We illustrate the system in actual DM case studies.

Timely knowledge sharing in disaster management (DM) is clearly vital, but it is remains challenging. Roles involved in DM processes often cut across many organizational boundaries and are dynamic. Knowledge involved is enormous and diverse. It includes information related to varieties of disasters, roles descriptions, plans and operations. Alas, practices may also vary across different regions and authorities. This paper makes a crucial contribution to address the knowledge sharing challenge by providing a knowledge based systems approach to facilitate structuring, storing and reusing DM knowledge.The contribution of this paper is three folds: Firstly, it presents a metamodel-based architecture suitable for various distributed knowledge sharing settings; Secondly, it presents an actual implementation of such a system, the Disaster Management Knowledge Repository (DMKR1.0). DMKR facilitates collaboration and DM knowledge sharing using a tailored DM language. This offers a flexible structure to allow the storage and retrieval not only of observed and measured data, but also interpretative and inferred information of the disaster management knowledge. Thirdly, the paper provides disaster management exemplars of how DMKR users can easily instantiate DM models to communicate and to generalize their knowledge for the benefit of sharing it within their community. This presents a compelling evidence of the soundness and the effectiveness of the overall approach to DM knowledge sharing.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 63, 30 November 2016, Pages 49–65
نویسندگان
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