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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

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

Publication year

2017

Confidentiality

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

Name of the periodical

International Journal of Geo-Information

ISSN

2220-9964

e-ISSN

—

Volume of the periodical

6

Issue of the periodical within the volume

8

Country of publishing house

CH - SWITZERLAND

Number of pages

11

Pages from-to

1-11

UT code for WoS article

000408868400009

EID of the result in the Scopus database

2-s2.0-85027510252