<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Advances in information technology developments have led to improved ways and means of sharing information and good practices in various areas of social development. Providing the necessary tools enables Citizen Sciences (CS) to play an important role in raising awareness and engaging various stakeholders in the prevention of invasive alien species (IAS). In Bulgaria, up until this point, it is poorly developed, and this is largely due to the lack of information to the general public regarding the categorization of species, pathways of introduction and their negative impact. The article examines the possibilities for introduction and use of an advanced ontological model in the area of invasive alien species research, which will aid the process of involving a wide range of stakeholders in various initiatives that will contribute to preventing the introduction and spread of IAS. The researched approach using the advantages of modern information and communication technologies includes acquaintance with the basic concepts in the area of IAS, the processes related to their introduction and spread, as well as taking into account the existing interrelationships, which would provide opportunities for early detection and the rapid eradication of IAS. The developed model will also be applied to measures and policies put in place to change the attitudes of the general public to the problem of IAS.</p>
</abstract>

Advances in information technology developments have led to improved ways and means of sharing information and good practices in various areas of social development. Providing the necessary tools enables Citizen Sciences (CS) to play an important role in raising awareness and engaging various stakeholders in the prevention of invasive alien species (IAS). In Bulgaria, up until this point, it is poorly developed, and this is largely due to the lack of information to the general public regarding the categorization of species, pathways of introduction and their negative impact. The article examines the possibilities for introduction and use of an advanced ontological model in the area of invasive alien species research, which will aid the process of involving a wide range of stakeholders in various initiatives that will contribute to preventing the introduction and spread of IAS. The researched approach using the advantages of modern information and communication technologies includes acquaintance with the basic concepts in the area of IAS, the processes related to their introduction and spread, as well as taking into account the existing interrelationships, which would provide opportunities for early detection and the rapid eradication of IAS. The developed model will also be applied to measures and policies put in place to change the attitudes of the general public to the problem of IAS.

An ontological model to support citizen science in the field of invasive species research

Department of Computer Systems and Informatics, Faculty of Business Administration

Department of Plant Protection, Faculty of Agronomy

Acta Scientifica Naturalis

This work is licensed under the Creative Commons Attribution 3.0 Public License.

Advances in information technology developments have led to improved ways and means of sharing information and good practices in various areas of social...

An ontological model to support citizen science in the field of invasive species research

Data publikacji: 18 cze 2022

Zakres stron: 23 - 32

DOI: https://doi.org/10.2478/asn-2022-0003

Słowa kluczowe
Citizen Sciences, Invasive species, Ontologies, information technology

© 2022 Radoslav Milchev et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 3.0 Public License.

An ontological model to support citizen science in the field of invasive species research

Data publikacji: 18 cze 2022

Zakres stron: 23 - 32

DOI: https://doi.org/10.2478/asn-2022-0003

Słowa kluczoweCitizen Sciences, Invasive species, Ontologies, information technology

© 2022 Radoslav Milchev et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 3.0 Public License.

Słowa kluczowe
Citizen Sciences, Invasive species, Ontologies, information technology