MODELING A HIGH-LEVEL DOMAIN ONTOLOGY TO STUDY ONLINE RADICALIZATION
Research on online radicalization in the digital age is impossible without tools to analyze social media data automatically. But the possibilities of creating prototypes for data mining of social networks are limited due to objective reasons associated with data collection and processing. To solve a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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National Research Tomsk Polytechnic University
2022-06-01
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| Series: | Векторы благополучия: экономика и социум |
| Subjects: | |
| Online Access: | https://jwt.su/journal/article/view/1167/1156 |
| _version_ | 1811228510741594112 |
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| author | Aleksei O. Savelev Anna Yu. Karpova |
| author_facet | Aleksei O. Savelev Anna Yu. Karpova |
| author_sort | Aleksei O. Savelev |
| collection | DOAJ |
| description | Research on online radicalization in the digital age is impossible without tools to analyze social media data automatically. But the possibilities of creating prototypes for data mining of social networks are limited due to objective reasons associated with data collection and processing. To solve any data mining task, knowledge of the subject area is an absolute must. Accordingly, knowledge of the subject area must first be collected, presented in the form of ontological models that machines can process and formalize. The article presents a socio-topological model of an online radicalization high-level ontology consisting of four main modules. Each module identifies measurable indicators of radicalization and how to calculate their values. In our approach to creating a high-level ontology of the subject area, we want to draw the attention of researchers to the fact that in the future, such ontologies are an effective tool at the first stage of research in the study of radicalization. |
| first_indexed | 2024-04-12T09:58:41Z |
| format | Article |
| id | doaj.art-988504aeae0746a1913c450e26156196 |
| institution | Directory Open Access Journal |
| issn | 2658-4956 |
| language | English |
| last_indexed | 2024-04-12T09:58:41Z |
| publishDate | 2022-06-01 |
| publisher | National Research Tomsk Polytechnic University |
| record_format | Article |
| series | Векторы благополучия: экономика и социум |
| spelling | doaj.art-988504aeae0746a1913c450e261561962022-12-22T03:37:36ZengNational Research Tomsk Polytechnic UniversityВекторы благополучия: экономика и социум2658-49562022-06-0145213214110.18799/26584956/2022/2/1167MODELING A HIGH-LEVEL DOMAIN ONTOLOGY TO STUDY ONLINE RADICALIZATIONAleksei O. Savelev0https://orcid.org/0000-0002-7466-6142Anna Yu. Karpova1https://orcid.org/0000-0001-7854-1438National Research Tomsk Polytechnic UniversityNational Research Tomsk Polytechnic UniversityResearch on online radicalization in the digital age is impossible without tools to analyze social media data automatically. But the possibilities of creating prototypes for data mining of social networks are limited due to objective reasons associated with data collection and processing. To solve any data mining task, knowledge of the subject area is an absolute must. Accordingly, knowledge of the subject area must first be collected, presented in the form of ontological models that machines can process and formalize. The article presents a socio-topological model of an online radicalization high-level ontology consisting of four main modules. Each module identifies measurable indicators of radicalization and how to calculate their values. In our approach to creating a high-level ontology of the subject area, we want to draw the attention of researchers to the fact that in the future, such ontologies are an effective tool at the first stage of research in the study of radicalization.https://jwt.su/journal/article/view/1167/1156semanticsontologytopologymodelradicalizationsocial network |
| spellingShingle | Aleksei O. Savelev Anna Yu. Karpova MODELING A HIGH-LEVEL DOMAIN ONTOLOGY TO STUDY ONLINE RADICALIZATION Векторы благополучия: экономика и социум semantics ontology topology model radicalization social network |
| title | MODELING A HIGH-LEVEL DOMAIN ONTOLOGY TO STUDY ONLINE RADICALIZATION |
| title_full | MODELING A HIGH-LEVEL DOMAIN ONTOLOGY TO STUDY ONLINE RADICALIZATION |
| title_fullStr | MODELING A HIGH-LEVEL DOMAIN ONTOLOGY TO STUDY ONLINE RADICALIZATION |
| title_full_unstemmed | MODELING A HIGH-LEVEL DOMAIN ONTOLOGY TO STUDY ONLINE RADICALIZATION |
| title_short | MODELING A HIGH-LEVEL DOMAIN ONTOLOGY TO STUDY ONLINE RADICALIZATION |
| title_sort | modeling a high level domain ontology to study online radicalization |
| topic | semantics ontology topology model radicalization social network |
| url | https://jwt.su/journal/article/view/1167/1156 |
| work_keys_str_mv | AT alekseiosavelev modelingahighleveldomainontologytostudyonlineradicalization AT annayukarpova modelingahighleveldomainontologytostudyonlineradicalization |