2026-10-12T11:33:19Z https://www.scidb.cn/oai

10.57760/sciencedb.28003 2025-07-24T10:24:44Z

2025-07-24 Basic knowledge graph of military unmanned systems doi:10.57760/sciencedb.28003 en To explore the technical path for constructing knowledge graphs in the military field based on open evaluation tasks, the team collaborated with the China Conference on Knowledge Graph and Semantic Computing(CCKS). In 2021 and 2022, they successively released the evaluation tasks for constructing knowledge graphs of military unmanned systems through the CCKS evaluation task section. Namely, "CCKS2021 - Construction of Vertical Domain Knowledge Graph for Military Unmanned Aerial Vehicle Systems" and "CCKS2022 - Construction of Knowledge Graph for Foreign Military Unmanned Aerial Vehicle Systems". Driven by the design of the standard ontology, task definition and evaluation indicators of unmanned systems, encyclopedic and authoritative datasets in the field of military unmanned systems were collected and selected. Through the approach of "release + evaluation + crowdsourcing + verification", a high-quality knowledge graph of military unmanned systems was constructed.In 2023, to support the implementation of the "CCKS2023 - Reasoning and Question-Answering of Knowledge Graph of Foreign Military Unmanned Systems" task, the team extracted the "subgraphs" related to the basic knowledge of unmanned systems from the graph and named it "Basic Knowledge Graph of Military Unmanned Systems". This graph consists of three csv data files: entities, relations, and attributes, namely entiti.csv, relation.csv, and attribute.csv. The data volume is approximately 8,000 entities, 14,000 relations, and 36,000 attributes, forming a relatively complete basic knowledge network for military unmanned systems. Military unmanned systems; basic question answering; knowledge graphs; evaluation tasks Zhang Jing Luan Ruipeng Yu Xuewen He Yufeng Liu Yixuan Tan Junwen PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank