| DC Field | Value | Language |
|---|
| dc.contributor.author | Ivashenko, V. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-01-04T08:20:11Z | - |
| dc.date.available | 2024-01-04T08:20:11Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Ivashenko, V. Structures and measures in knowledge processing models / V. Ivashenko // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 16–21. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/53989 | - |
| dc.description.abstract | This paper contains an overview of approaches to analyzing the structure and quantitative properties of ontological substructures embeddable into the semantic space. Requirements and an approach to the analysis of semantic structures and the synthesis of semantic measures are considered. The results are focused on identifying invariants of ontological structures for knowledge management problems. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | semantic space | en_US |
| dc.subject | topological space | en_US |
| dc.subject | semantic measure | en_US |
| dc.subject | semantic metrics | en_US |
| dc.subject | dynamic network analysis | en_US |
| dc.subject | denotation semantics | en_US |
| dc.subject | operational semantics | en_US |
| dc.subject | game semantics | en_US |
| dc.subject | graph centralities | en_US |
| dc.subject | meta-operation | en_US |
| dc.subject | knowledge management | en_US |
| dc.title | Structures and measures in knowledge processing models | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
|
