The Backbone of Decision Support Systems

Author:

Hertweck Philipp1,Moßgraber Jürgen1,Kontopoulos Efstratios2ORCID,Mitzias Panagiotis2,Hellmund Tobias1,Karakostas Anastasios2,Hilbring Désirée1,van der Schaaf Hylke1,Vrochidis Stefanos2,Blume Jan-Wilhem1,Kompatsiaris Ioannis2

Affiliation:

1. Fraunhofer IOSB, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany

2. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

Abstract

Understanding the current situation is critical in every natural disaster or crisis. Therefore, there is a need for accurate and up-to-date information about the scope, extent and impact of a disaster. The basis for this information is data that is available through a variety of sensors. Decision Support Systems (DSSs) support decision makers in disaster management, response, and recovery by providing early warnings, insights into the current situation and recommendations for mitigation actions. For this purpose, raw sensor data needs to be collected, analyzed, integrated, and its semantics need to be automatically understood by the system. This series of processes forms a generic sensor to decision chain. In this paper, we present solutions and technologies to integrate those steps seamlessly, also demonstrating how each step of the pipeline can be visualized.

Publisher

IGI Global

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference38 articles.

1. W3C SPARQL Working Group. (2012) SPARQL 1.1 overview. W3C recommendation.

2. Angaramo, F., & Rossi, C. (2018) Online clustering and classification for real-time event detection in Twitter. In Proceedings of the 15th ISCRAM Conference, Rochester, NY. Academic Press.

3. SoKNOS – Using Semantic Technologies in Disaster Management Software

4. bAWARE. (2018a) The beAWARE Crisis Management Ontology v1.0. Retrieved from http://w3id.org/beaware_ontology

5. BBC. (2017) Hottest June day since summer of 1976 in heatwave. Retrieved from https://www.bbc.com/news/uk-40353118

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Connected World: System-Level Support Through Biosensors;Annual Review of Analytical Chemistry;2023-06-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3