A geo-ontology-based approach to decision-making in emergency management of meteorological disasters

Zhong, Shaobo; Fang, Zhixiang; Zhu, Min; Huang, Quanyi

doi:10.1007/s11069-017-2979-z

Cited by 40 publications

(24 citation statements)

References 25 publications

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“…The upper-level of the PESCaDO ontology includes three interrelated components: (a) The problem component describing the user request, activity, and profile; (b) the data component describing meteorological, pollen, and air quality data; and (c) the conclusion component for encoding warnings, recommendation, and suggestions provided by the system. Application ontologies have also been developed for managing natural disaster information [71,72]. In this context, ontologies are designed not only as a knowledge base but rather as a tool for assisting decision making in emergency response.…”

Section: Domain Task and Application Ontologiesmentioning

confidence: 99%

“…In this context, ontologies are designed not only as a knowledge base but rather as a tool for assisting decision making in emergency response. Zhong et al [72] implemented an application ontology where further information is inferred from semantic and spatial data. Linyao et al [71] propose a tool for retrieving and managing disaster-related data.…”

Section: Domain Task and Application Ontologiesmentioning

confidence: 99%

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A Review of Geospatial Semantic Information Modeling and Elicitation Approaches

Kokla

Guilbert

2020

IJGI

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The present paper provides a review of two research topics that are central to geospatial semantics: information modeling and elicitation. The first topic deals with the development of ontologies at different levels of generality and formality, tailored to various needs and uses. The second topic involves a set of processes that aim to draw out latent knowledge from unstructured or semi-structured content: semantic-based extraction, enrichment, search, and analysis. These processes focus on eliciting a structured representation of information in various forms such as: semantic metadata, links to ontology concepts, a collection of topics, etc. The paper reviews the progress made over the last five years in these two very active areas of research. It discusses the problems and the challenges faced, highlights the types of semantic information formalized and extracted, as well as the methodologies and tools used, and identifies directions for future research.

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Section: Domain Task and Application Ontologiesmentioning

confidence: 99%

Section: Domain Task and Application Ontologiesmentioning

confidence: 99%

A Review of Geospatial Semantic Information Modeling and Elicitation Approaches

Kokla

Guilbert

2020

IJGI

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“…Zong et al [19] proposed an ontology representation of meteorological disaster system. Trucco et al [20] developed a critical infrastructure systems ontology, and hazards and threats ontology, connected through vulnerability and interdependency models as a multi-dimensional hazards catalogue for critical infrastructure to support risk assessment, Alirezaie et al [21] presented a framework named SemCityMap in which satellite images are classified and augmented with additional semantic information to enable queries about finding paths on a particular location in a disaster situation (simulation of flood) using existing ontologies and a developed ontology named OntoCity.…”

Section: Background and Related Workmentioning

confidence: 99%

Geographic ontology for major disasters: Methodology and implementation

Bouyerbou

Bechkoum

Lepage

2019

International Journal of Disaster Risk Reduction

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During a catastrophic event, the International Charter 1 "Space and Major Disasters" is regularly activated and provides the rescue teams damage maps prepared by a photo-interpreter team basing on pre and post-disaster satellite images. A satellite image manual processing must be accomplished in most cases to build these maps, a complex and demanding process. Given the importance of time in such critical situations, automatic or semiautomatic tools are highly recommended. Despite the quick treatment presented by automatic processing, it usually presents a semantic gap issue. Our aim is to express expert knowledge using a well-defined knowledge representation method: ontologies and make semantics explicit in geographic and remote sensing applications by taking the ontology advantages in knowledge representation, expression, and knowledge discovery. This research focuses on the design and implementation of a comprehensive geographic ontology in the case of major disasters, that we named GEO-MD, and illustrates its application in the case of Haiti 2010 earthquake. Results show how the ontology integration reduces the semantic gap and improves the automatic classification accuracy.

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“…Existen diversos trabajos que han propuesto ontologías relacionadas con fenómenos meteorológicos (Bally, 2004;Atemezing et al, 2013;Bart et al, 2017) y emergencias y desastres meteorológicos (Zhang et al, 2016;Zhong et al, 2017). Otros trabajos han tratado periódicos y documentos digitalizados desde un enfoque semántico (Castells et al, 2004;Ahonen;Hyvönen, 2009;Ambinder;Marcondes, 2013;Monteiro;Jacyntho, 2016).…”

Section: Introductionunclassified

Construcción de una red de ontologías sobre eventos meteorológicos a partir de periódicos históricos

2020

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Resumen En la actualidad, pocos niegan el valor del contenido del periódico para comprender cuestiones relacionadas con la política, cultura y sociedad. De esta manera, la digitalización de los archivos de periódicos ha permitido rescatar artículos históricos y culturales relevantes. Sin embargo, aún no se ha sacado a la luz una infinidad de “datos menores” que se encuentran ocultos en estos periódicos. En este artículo se afrontan los desafíos para acceder y tratar los fondos de las hemerotecas nacionales de Colombia, Ecuador, México y Uruguay, que recogen noticias sobre eventos meteorológicos entre los siglos XIX-XX. Sobre estos periódicos se conforma un corpus de noticias que mediante lecturas técnicas y la aplicación de un proceso de bibliominería, utilizando diversas herramientas, permite iniciar la construcción de una red de ontologías. Esta red se compone de diferentes módulos (técnico, general y noticias), que son construidos utilizando diferentes enfoques (top-down y bottom-up) y metodologías (Methontology y NeOn), con el fin de proveer un entendimiento común y compartido de los eventos meteorológicos históricos en Latinoamérica. Por tanto, este trabajo supone un acercamiento de los fondos de las hemerotecas/bibliotecas a la Web Semántica.

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A geo-ontology-based approach to decision-making in emergency management of meteorological disasters

Cited by 40 publications

References 25 publications

A Review of Geospatial Semantic Information Modeling and Elicitation Approaches

A Review of Geospatial Semantic Information Modeling and Elicitation Approaches

Geographic ontology for major disasters: Methodology and implementation

Construcción de una red de ontologías sobre eventos meteorológicos a partir de periódicos históricos

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