Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English
Automated understanding of activities in enterprises is challenging due to a lack of domain specifications and a lack of domain ontologies. The goal of this research is to develop a method to extract elements of domain-specific processes from textual documents in unstructured English and form domain...
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| Format: | Article |
| Language: | English |
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Sciendo
2025-01-01
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| Series: | Applied Computer Systems |
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| Online Access: | https://doi.org/10.2478/acss-2025-0001 |
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| author | Minab Shokoufeh Salem Nazaruka Erika |
| author_facet | Minab Shokoufeh Salem Nazaruka Erika |
| author_sort | Minab Shokoufeh Salem |
| collection | DOAJ |
| description | Automated understanding of activities in enterprises is challenging due to a lack of domain specifications and a lack of domain ontologies. The goal of this research is to develop a method to extract elements of domain-specific processes from textual documents in unstructured English and form domain dataset ontologies. In order to achieve the goal, the related work on discourse analysis and business process modelling have been considered. The prominent technologies for implementation of the proposed method are machine learning, including classification algorithms and natural language processing using a large language model. The first experimental results are presented, and further research is discussed. Potentially, the method proposed can be implemented as a part of some assisting tool for system analysts and can support an analysis of the domain-specific information by providing contextual information from this and potentially related domains. |
| format | Article |
| id | doaj-art-9418fe0abbca41dfafeb9897109e6246 |
| institution | Kabale University |
| issn | 2255-8691 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Computer Systems |
| spelling | doaj-art-9418fe0abbca41dfafeb9897109e62462025-02-10T13:25:17ZengSciendoApplied Computer Systems2255-86912025-01-0130111110.2478/acss-2025-0001Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled EnglishMinab Shokoufeh Salem0Nazaruka Erika1Institute of Applied Computer Systems, Riga Technical University, Riga, LatviaInstitute of Applied Computer Systems, Riga Technical University, Riga, LatviaAutomated understanding of activities in enterprises is challenging due to a lack of domain specifications and a lack of domain ontologies. The goal of this research is to develop a method to extract elements of domain-specific processes from textual documents in unstructured English and form domain dataset ontologies. In order to achieve the goal, the related work on discourse analysis and business process modelling have been considered. The prominent technologies for implementation of the proposed method are machine learning, including classification algorithms and natural language processing using a large language model. The first experimental results are presented, and further research is discussed. Potentially, the method proposed can be implemented as a part of some assisting tool for system analysts and can support an analysis of the domain-specific information by providing contextual information from this and potentially related domains.https://doi.org/10.2478/acss-2025-0001business process modellingdomain analysisnatural language processingontology |
| spellingShingle | Minab Shokoufeh Salem Nazaruka Erika Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English Applied Computer Systems business process modelling domain analysis natural language processing ontology |
| title | Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English |
| title_full | Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English |
| title_fullStr | Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English |
| title_full_unstemmed | Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English |
| title_short | Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English |
| title_sort | method for creating domain specific dataset ontologies from text in uncontrolled english |
| topic | business process modelling domain analysis natural language processing ontology |
| url | https://doi.org/10.2478/acss-2025-0001 |
| work_keys_str_mv | AT minabshokoufehsalem methodforcreatingdomainspecificdatasetontologiesfromtextinuncontrolledenglish AT nazarukaerika methodforcreatingdomainspecificdatasetontologiesfromtextinuncontrolledenglish |