About: Ontological models and expert systems in decision support of emergency situations

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Ontological models and expert systems in decision support of emergency situations Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.vojenskaskola.cz/school/ud/fmhs/research_development/Documents/MMSL_2011_1_3_WWW.pdf
Description	During emergency response operations many decisions have to be made. Information technologies provide possibilities for new tools to support decision makers in decisions that comprise of many critical factors and that require specialized knowledge. In these tools the complexity is tackled using modelling and simulations of possible scenarios of response operations. Today, conceptual modelling in the field of information technology is oriented on the ontological approach. Ontology is a shared vocabulary and an unambiguous machine processed specification of terms together with their relationships. The ontology can have the form of a taxonomy or classification, database schema or axiomatic theory. The ontological modelling can be utilized along with expert systems for decision support. Expert systems, in contrast to other approaches such as neural networks for instance, better reflect the domain knowledge and provide justification for the decision. The aim of this paper is to describe prerequisites and design general schema for decision support in response operations during biological incidents including the applicable technology. During emergency response operations many decisions have to be made. Information technologies provide possibilities for new tools to support decision makers in decisions that comprise of many critical factors and that require specialized knowledge. In these tools the complexity is tackled using modelling and simulations of possible scenarios of response operations. Today, conceptual modelling in the field of information technology is oriented on the ontological approach. Ontology is a shared vocabulary and an unambiguous machine processed specification of terms together with their relationships. The ontology can have the form of a taxonomy or classification, database schema or axiomatic theory. The ontological modelling can be utilized along with expert systems for decision support. Expert systems, in contrast to other approaches such as neural networks for instance, better reflect the domain knowledge and provide justification for the decision. The aim of this paper is to describe prerequisites and design general schema for decision support in response operations during biological incidents including the applicable technology. (en)
Title	Ontological models and expert systems in decision support of emergency situations Ontological models and expert systems in decision support of emergency situations (en)
skos:prefLabel	Ontological models and expert systems in decision support of emergency situations Ontological models and expert systems in decision support of emergency situations (en)
skos:notation	RIV/60162694:G44__/11:00002614!RIV12-MO0-G44_____
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MO0FVZ0000604)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Čech, Pavel Bureš, Vladimír Macela, Aleš Antoš, Karel
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ministerstvo obrany / Univerzita obrany - Fakulta vojenského zdravotnictví Hradec Králové
http://linked.open...dnocenehoVysledku	218400
http://linked.open...ai/riv/idVysledku	RIV/60162694:G44__/11:00002614
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	decision; biological incident; decision support systems; ontological model; expert system (en)
http://linked.open.../riv/klicoveSlovo	expert system biological incident decision support systems ontological model decision
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[3880D244D549]
http://linked.open...i/riv/nazevZdroje	Military Medical Science Letters
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	80
http://linked.open...iv/tvurceVysledku	Bureš, Vladimír Otčenášková, Tereza Čech, Pavel Musílek, Petr Antoš, Karel Macela, Aleš
http://linked.open...n/vavai/riv/zamer	Informační zabezpečení krizového managementu pro oblast zdravotnictví
issn	0372-7025
number of pages	7 (xsd:int)
http://localhost/t...ganizacniJednotka	G44

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software