Journal of System Simulation
Abstract
Abstract: Aiming at the lack of professional datasets for information extraction technology research in the field of strategic operations research analysis, this paper proposes an event ontology and dataset construction method for strategic operations research analysis. The method proposes an event ontology model for strategic operations research analysis according to the needs of situation judgment in strategic operations research analysis, and uses the method of "a small amount of manual annotation + fine-tuned large language model annotation" to construct the event dataset EfSOA for strategic operations research analysis. The dataset construction method proposed in this paper and the constructed dataset EfSOA highlight the domain knowledge of strategic operations research analysis, which can effectively support the research of information extraction methods in this field, and lay a foundation for the future construction of event extraction and relationship mining models for strategic operations research analysis.
Recommended Citation
Chen, Quanlin and Jia, Jun
(2025)
"An Event Ontology and Dataset Construction Method for Strategic Operations Analysis,"
Journal of System Simulation: Vol. 37:
Iss.
4, Article 10.
DOI: 10.16182/j.issn1004731x.joss.23-1435
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss4/10
First Page
943
Last Page
952
CLC
TP391.1；E919
Recommended Citation
Chen Quanlin, Jia Jun. An Event Ontology and Dataset Construction Method for Strategic Operations Analysis[J]. Journal of System Simulation, 2025, 37(4): 943-952.
DOI
10.16182/j.issn1004731x.joss.23-1435
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