Centrality as a Method for Evaluation of Semantic Resources for Disaster Risk Reduction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43949888" target="_blank" >RIV/49777513:23520/17:43949888 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.mdpi.com/2220-9964/6/8/237" target="_blank" >http://www.mdpi.com/2220-9964/6/8/237</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ijgi6080237" target="_blank" >10.3390/ijgi6080237</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Centrality as a Method for Evaluation of Semantic Resources for Disaster Risk Reduction

Popis výsledku v původním jazyce

A clear communication is a key aspect of all human activities related to crisis management. Since crisis management activities involve professionals from various disciplines using different terminology, clear communication is hard to achieve. Semantics as a broad science can help to overcome communication difficulties. This research focuses on evaluation of available semantic resources including ontologies, thesauri and controlled vocabularies for disaster risk reduction as part of crisis management. The main idea of the study is that the most appropriate source of understandable terminology is such a semantic resource, which is accepted by, or at least connected to, the majority of other resources. Important is not only the number of interconnected resources, but also the concrete position of the resource in the complex network of Linked Data resources. Although this is usually done by user experience, objective methods of resource semantic centrality can be applied. This can be described by centrality methods used in graph theory. This article describes the calculation of four types of centrality methods applied to 160 geographic concepts published as Linked Data and related to disaster risk reduction. Centralities were calculated for graph structures containing particular semantic resources as nodes and identity links as edges. The results show that the datasets with high values of centrality serve as important information resources, but they also include more concepts from preselected 160 geographic concepts. Therefore, they could be considered as the most suitable resources of terminology to make communication in the domain easier. The main research goal is to automate the semantic resources evaluation and to apply well-known theoretical method to the semantic issues of Linked Data. It is necessary to mention the limits of this study – the number of tested concepts and the fact that centralities represents just one view on evaluation of semantic resources.

Název v anglickém jazyce

Centrality as a Method for Evaluation of Semantic Resources for Disaster Risk Reduction

Popis výsledku anglicky

A clear communication is a key aspect of all human activities related to crisis management. Since crisis management activities involve professionals from various disciplines using different terminology, clear communication is hard to achieve. Semantics as a broad science can help to overcome communication difficulties. This research focuses on evaluation of available semantic resources including ontologies, thesauri and controlled vocabularies for disaster risk reduction as part of crisis management. The main idea of the study is that the most appropriate source of understandable terminology is such a semantic resource, which is accepted by, or at least connected to, the majority of other resources. Important is not only the number of interconnected resources, but also the concrete position of the resource in the complex network of Linked Data resources. Although this is usually done by user experience, objective methods of resource semantic centrality can be applied. This can be described by centrality methods used in graph theory. This article describes the calculation of four types of centrality methods applied to 160 geographic concepts published as Linked Data and related to disaster risk reduction. Centralities were calculated for graph structures containing particular semantic resources as nodes and identity links as edges. The results show that the datasets with high values of centrality serve as important information resources, but they also include more concepts from preselected 160 geographic concepts. Therefore, they could be considered as the most suitable resources of terminology to make communication in the domain easier. The main research goal is to automate the semantic resources evaluation and to apply well-known theoretical method to the semantic issues of Linked Data. It is necessary to mention the limits of this study – the number of tested concepts and the fact that centralities represents just one view on evaluation of semantic resources.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Geo-Information

ISSN

2220-9964

e-ISSN

—

Svazek periodika

6

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

11

Strana od-do

1-11

Kód UT WoS článku

000408868400009

EID výsledku v databázi Scopus

2-s2.0-85027510252