Towards an information centric flood ontology for information management and communication
Towards an information centric flood ontology for information management and communication
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DOI：
10.1007/s12145-019-00398-9
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发表时间：
2019-08
影响因子：
2.8
通讯作者：
Y. Sermet;I. Demir
中科院分区：
文献类型：
--
作者：
Y. Sermet;I. Demir
信息技术的进步和新技术使得管理、分析和呈现从各种来源获得的大规模环境模拟结果和空间数据成为可能。然而，由于其非结构化、不完整和多样性，使这些数据可供访问是一项重大挑战。从各种数据源中快速提取信息并做出准确的推断，对于自然灾害的防备和应对至关重要。关于灾害的重要信息需要以结构化和易于获取的方式，根据具体情况提供。本文介绍了一组以信息为中心的本体，包括洪水领域，并描述了它们如何可以受益于访问，分析和可视化洪水相关的数据与自然语言查询。所提出的方法能够轻松地将领域知识集成到专家系统和支持语音的智能应用程序中，这些应用程序可以通过基于Web的信息平台、即时消息应用程序、自动化工作流系统、家庭自动化设备以及增强和虚拟现实平台进行访问。一个案例研究，以证明在这样的智能系统中的本体的使用。
Advancements and new techniques in information technologies are making it possible to manage, analyze and present large-scale environmental modeling results and spatial data acquired from various sources. However, it is a major challenge to make this data accessible because of its unstructured, incomplete and varied nature. Extracting information and making accurate inferences from various data sources rapidly is critical for natural disaster preparedness and response. Critical information about disasters needs to be provided in a structured and easily accessible way in a context-specific manner. This paper introduces a group of information-centric ontologies that encompass the flood domain and describes how they can be benefited to access, analyze, and visualize flood-related data with natural language queries. The presented methodology enables the easy integration of domain knowledge into expert systems and voice-enabled intelligent applications that can be accessed through web-based information platforms, instant messaging apps, automated workflow systems, home automation devices, and augmented and virtual reality platforms. A case study is described to demonstrate the usage of presented ontologies in such intelligent systems.