Review of Tools for Semantics Extraction: Application in Tsunami Research Domain
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F22%3A50019476" target="_blank" >RIV/62690094:18450/22:50019476 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2078-2489/13/1/4" target="_blank" >https://www.mdpi.com/2078-2489/13/1/4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/info13010004" target="_blank" >10.3390/info13010004</a>
Alternative languages
Result language
angličtina
Original language name
Review of Tools for Semantics Extraction: Application in Tsunami Research Domain
Original language description
Immense numbers of textual documents are available in a digital form. Research activities are focused on methods of how to speed up their processing to avoid information overloading or to provide formal structures for the problem solving or decision making of intelligent agents. Ontology learning is one of the directions which contributes to all of these activities. The main aim of the ontology learning is to semi-automatically, or fully automatically, extract ontologies—formal structures able to express information or knowledge. The primary motivation behind this paper is to facilitate the processing of a large collection of papers focused on disaster management, especially on tsunami research, using the ontology learning. Various tools of ontology learning are mentioned in the literature at present. The main aim of the paper is to uncover these tools, i.e., to find out which of these tools can be practically used for ontology learning in the tsunami application domain. Specific criteria are predefined for their evaluation, with respect to the “Ontology learning layer cake”, which introduces the fundamental phases of ontology learning. ScienceDirect and Web of Science scientific databases are explored, and various solutions for semantics extraction are manually “mined” from the journal articles. ProgrammableWeb site is used for exploration of the tools, frameworks, or APIs applied for the same purpose. Statistics answer the question of which tools are mostly mentioned in these journal articles and on the website. These tools are then investigated more thoroughly, and conclusions about their usage are made with respect to the tsunami domain, for which the tools are tested. Results are not satisfactory because only a limited number of tools can be practically used for ontology learning at present.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LTC20020" target="_blank" >LTC20020: Consolidating research in tsunami hazard through the application of systems approach</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Information
ISSN
2078-2489
e-ISSN
2078-2489
Volume of the periodical
13
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
30
Pages from-to
"Article Number: 4"
UT code for WoS article
000747798000001
EID of the result in the Scopus database
2-s2.0-85121791603