Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866916952004362240 |
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| author | Boldachev, Aleksandr |
| author_facet | Boldachev, Aleksandr |
| contents | This paper presents boldsea, Boldachev's semantic-event approach -- an architecture for modeling complex dynamic systems using executable ontologies -- semantic models that act as dynamic structures, directly controlling process execution. We demonstrate that integrating event semantics with a dataflow architecture addresses the limitations of traditional Business Process Management (BPM) systems and object-oriented semantic technologies. The paper presents the formal BSL (boldsea Semantic Language), including its BNF grammar, and outlines the boldsea-engine's architecture, which directly interprets semantic models as executable algorithms without compilation. It enables the modification of event models at runtime, ensures temporal transparency, and seamlessly merges data and business logic within a unified semantic framework. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_09775 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture Boldachev, Aleksandr Artificial Intelligence Computation and Language Formal Languages and Automata Theory Software Engineering This paper presents boldsea, Boldachev's semantic-event approach -- an architecture for modeling complex dynamic systems using executable ontologies -- semantic models that act as dynamic structures, directly controlling process execution. We demonstrate that integrating event semantics with a dataflow architecture addresses the limitations of traditional Business Process Management (BPM) systems and object-oriented semantic technologies. The paper presents the formal BSL (boldsea Semantic Language), including its BNF grammar, and outlines the boldsea-engine's architecture, which directly interprets semantic models as executable algorithms without compilation. It enables the modification of event models at runtime, ensures temporal transparency, and seamlessly merges data and business logic within a unified semantic framework. |
| title | Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture |
| topic | Artificial Intelligence Computation and Language Formal Languages and Automata Theory Software Engineering |
| url | https://arxiv.org/abs/2509.09775 |