# Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture

arXiv: https://arxiv.org/abs/2509.09775 · HTML: https://mlsanity.com/paper/2509.09775/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 19 references that are in the map.
- First posted on arXiv 11 Sep 2025.

## Builds on (most cited first, 2 of 2)

- [A Survey on Temporal Knowledge Graph: Representation Learning and Applications](https://mlsanity.com/paper/2403.04782/) (2024)
- [Process Modeling With Large Language Models](https://mlsanity.com/paper/2403.07541/) (2024)

## Built on by (most cited first, 1 of 1)

- [Executable Ontologies in Game Development: From Algorithmic Control to Semantic World Modeling](https://mlsanity.com/paper/2601.07964/) (2026)

## Abstract (arXiv)

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.