An ontology of Natural Disasters with exceptions

Jain, Sarika; Mehla, Sonia; Mishra, Sanju

doi:10.1109/sysmart.2016.7894526

Cited by 11 publications

(5 citation statements)

References 11 publications

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“…The news reports were processed by clauses, and then the sentences were read manually to extract the news content. The concepts, relationships, and rules of typhoon events were derived from various sources, including standard specifications, laws, and regulations (e.g., the Meteorological Disaster Prevention Ordinance), professional books (e.g., Typhoon Forecast and Disaster), literature [21,35,37,39,46,47,49,50,52,68,69], official news, and statistical data materials (e.g., Tropical Cyclone Yearbook) about typhoons. For instance, the Chinese standard document 'GB/T 19201-2006' defines the level of tropical cyclones; 'GB/T 26376-2010' defines basic terms for natural disaster management; 'GB/T 28921-2012' defines the categories of natural disasters, and 'GB/T 35663-2017' defines the terms and definitions of weather conditions, meteorological elements and weather phenomena.…”

Section: Methodsmentioning

confidence: 99%

“…Wei Wang [49] developed a hazard ontology based on authoritative sources on hazards and existing ontologies. Jain et al [50] created a natural disasters ontology, categorizing events into groups that included earthquake, volcano, wild fires, and more. Goodall et al [51] analyzed the different views on disaster ontologies in China and the West.…”

Section: Related Workmentioning

confidence: 99%

“…By analyzing and referencing concepts and relationships of typhoon events from typhoon standard specifications, professional books, and the literature [46,50,52,70,71], this paper introduces a five-layer classification system for typhoon events based on the concepts, content, relationships and nature found in the news. The classification system results in the formation of an event category tree, illustrated in Figure 2.…”

Section: Classification System For Typhoon Eventsmentioning

confidence: 99%

“…Events of the same type often share common elements. This paper, by referring to the concepts of typhoons in national standard documents and typhoon ontology [21,35,37,50,52], as well as the taxonomy [46,47,49,50,52,69] presented in literature, and combining them with the description of typhoon events in news reports, summarizes various elements in the category of typhoon events. An example is provided in the following excerpt from a news report: "As of 5 p.m. today (14th), the center of Typhoon Khanun (severe tropical storm force) is situated in the eastern part of the South China Sea, approximately 840 km east to south of Xuwen County, Guangdong Province.…”

Section: Elements Of Typhoon Eventsmentioning

confidence: 99%

See 3 more Smart Citations

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

Chen,

Zheng,

et al. 2023

IJGI

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Typhoons are destructive weather events. News media reports contain large amounts of typhoon information. Transforming this information into useful knowledge to provide a basis for mining typhoon knowledge and supporting disaster prevention and relief is urgently required to solve this problem. Knowledge representation can be used to address this problem, although it presents several challenges. These challenges lie in expressing the static and dynamic characteristics of typhoons and formalizing the knowledge representation method and making it suitable for machine processing. Moreover, the general Chinese time and space representation method is overly cumbersome for use in ontologies. The present study proposes an ontology-based typhoon event representation method that solves the representation problems of the typhoon static concept and dynamic features. Furthermore, it summarizes the fixed patterns of time and space in Chinese news and designs a time and space model suitable for typhoon event ontologies. From the ontology population, typhoon event ontology instances are created, and the typhoon event ontology model is applied to the analysis of typhoon processes, verifying the effectiveness of the typhoon event ontology model.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Classification System For Typhoon Eventsmentioning

confidence: 99%

Section: Elements Of Typhoon Eventsmentioning

confidence: 99%

See 2 more Smart Citations

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

Chen,

Zheng,

et al. 2023

IJGI

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“…We have also used many features of OWL that could be found in the world wide web consortium reports and Jain et al [62,63]. These include enclosure, intersection, union, inverse, and equivalence (of classes and properties).…”

mentioning

confidence: 99%

Prediction of Bladder Cancer Treatment Side Effects Using an Ontology-Based Reasoning for Enhanced Patient Health Safety

2021

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Predicting potential cancer treatment side effects at time of prescription could decrease potential health risks and achieve better patient satisfaction. This paper presents a new approach, founded on evidence-based medical knowledge, using as much information and proof as possible to help a computer program to predict bladder cancer treatment side effects and support the oncologist’s decision. This will help in deciding treatment options for patients with bladder malignancies. Bladder cancer knowledge is complex and requires simplification before any attempt to represent it in a formal or computerized manner. In this work we rely on the capabilities of OWL ontologies to seamlessly capture and conceptualize the required knowledge about this type of cancer and the underlying patient treatment process. Our ontology allows case-based reasoning to effectively predict treatment side effects for a given set of contextual information related to a specific medical case. The ontology is enriched with proofs and evidence collected from online biomedical research databases using “web crawlers”. We have exclusively designed the crawler algorithm to search for the required knowledge based on a set of specified keywords. Results from the study presented 80.3% of real reported bladder cancer treatment side-effects prediction and were close to really occurring adverse events recorded within the collected test samples when applying the approach. Evidence-based medicine combined with semantic knowledge-based models is prominent in generating predictions related to possible health concerns. The integration of a diversity of knowledge and evidence into one single integrated knowledge-base could dramatically enhance the process of predicting treatment risks and side effects applied to bladder cancer oncotherapy.

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Digitization of Disaster Management: A Multimedia Ontological Approach

Lama

Jain

2018

Information and Communication Technology for Competitive Strategies

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An ontology of Natural Disasters with exceptions

Cited by 11 publications

References 11 publications

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

Prediction of Bladder Cancer Treatment Side Effects Using an Ontology-Based Reasoning for Enhanced Patient Health Safety

Digitization of Disaster Management: A Multimedia Ontological Approach

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