Ontology-Driven Computer Systems
This article delves into the evolving frontier of ontology-driven natural language information processing. Through an in-depth examination, we put forth a novel linguistic processor architecture, uniquely integrating linguistic and ontological paradigms during semantic analysis. Distancing from conv...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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South African Institute of Computer Scientists and Information Technologists
2023-12-01
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| Series: | South African Computer Journal |
| Subjects: | |
| Online Access: | https://journals.assaf.org.za/index.php/sacj/article/view/17445 |
| _version_ | 1827584487176798208 |
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| author | Mykola Petrenko Ellen Cohn Oleksandr Shchurov Kyrylo Malakhov |
| author_facet | Mykola Petrenko Ellen Cohn Oleksandr Shchurov Kyrylo Malakhov |
| author_sort | Mykola Petrenko |
| collection | DOAJ |
| description | This article delves into the evolving frontier of ontology-driven natural language information processing. Through an in-depth examination, we put forth a novel linguistic processor architecture, uniquely integrating linguistic and ontological paradigms during semantic analysis. Distancing from conventional methodologies, our approach showcases a profound merger of knowledge extraction and representation techniques. A central highlight of our research is the development of an ontology-driven information system, architected with an innate emphasis on self-enhancement and adaptability. The system’s salient capability lies in its adept handling of elementary knowledge, combined with its dynamic aptitude to foster innovative concepts and relationships. A particular focus is accorded to the system’s application in scientific information processing, signifying its potential in revolutionising knowledge-based applications within scientific domains. Through our endeavours, we aim to pave the
way for more intuitive, precise, and expansive ontology-driven tools in the realm of knowledge extraction and representation. |
| first_indexed | 2024-03-08T23:30:04Z |
| format | Article |
| id | doaj.art-afec35865a694e2dbf9e29038a91f1c6 |
| institution | Directory Open Access Journal |
| issn | 1015-7999 2313-7835 |
| language | English |
| last_indexed | 2024-03-08T23:30:04Z |
| publishDate | 2023-12-01 |
| publisher | South African Institute of Computer Scientists and Information Technologists |
| record_format | Article |
| series | South African Computer Journal |
| spelling | doaj.art-afec35865a694e2dbf9e29038a91f1c62023-12-14T14:54:29ZengSouth African Institute of Computer Scientists and Information TechnologistsSouth African Computer Journal1015-79992313-78352023-12-0135210.18489/sacj.v35i2.1744521859Ontology-Driven Computer SystemsMykola Petrenkohttps://orcid.org/0000-0001-6440-0706Ellen Cohnhttps://orcid.org/0000-0002-4080-835XOleksandr Shchurovhttps://orcid.org/0000-0002-0449-1295Kyrylo Malakhovhttps://orcid.org/0000-0003-3223-9844This article delves into the evolving frontier of ontology-driven natural language information processing. Through an in-depth examination, we put forth a novel linguistic processor architecture, uniquely integrating linguistic and ontological paradigms during semantic analysis. Distancing from conventional methodologies, our approach showcases a profound merger of knowledge extraction and representation techniques. A central highlight of our research is the development of an ontology-driven information system, architected with an innate emphasis on self-enhancement and adaptability. The system’s salient capability lies in its adept handling of elementary knowledge, combined with its dynamic aptitude to foster innovative concepts and relationships. A particular focus is accorded to the system’s application in scientific information processing, signifying its potential in revolutionising knowledge-based applications within scientific domains. Through our endeavours, we aim to pave the way for more intuitive, precise, and expansive ontology-driven tools in the realm of knowledge extraction and representation.https://journals.assaf.org.za/index.php/sacj/article/view/17445ontology engineeringelementary senseknowledge representationcommonsense knowledgedeep artificial intelligencescientific model of the world |
| spellingShingle | Mykola Petrenko Ellen Cohn Oleksandr Shchurov Kyrylo Malakhov Ontology-Driven Computer Systems South African Computer Journal ontology engineering elementary sense knowledge representation commonsense knowledge deep artificial intelligence scientific model of the world |
| title | Ontology-Driven Computer Systems |
| title_full | Ontology-Driven Computer Systems |
| title_fullStr | Ontology-Driven Computer Systems |
| title_full_unstemmed | Ontology-Driven Computer Systems |
| title_short | Ontology-Driven Computer Systems |
| title_sort | ontology driven computer systems |
| topic | ontology engineering elementary sense knowledge representation commonsense knowledge deep artificial intelligence scientific model of the world |
| url | https://journals.assaf.org.za/index.php/sacj/article/view/17445 |
| work_keys_str_mv | AT mykolapetrenko ontologydrivencomputersystems AT ellencohn ontologydrivencomputersystems AT oleksandrshchurov ontologydrivencomputersystems AT kyrylomalakhov ontologydrivencomputersystems |