Research on Ontology-based Data Access Method for Bamboo Slips

WANG Changlong; GAO Yuan; SANG Xiujuan; WANG Xijie

doi:10.11907/rjdk.251054

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Research on Ontology-based Data Access Method for Bamboo Slips

Artificial Intelligence | 更新时间：2026-04-30

- Research on Ontology-based Data Access Method for Bamboo Slips
- Software Guide Vol. 25, Issue 4, Pages: 27-34(2026)
- 作者机构：
  
  西北师范大学计算机科学与工程学院，甘肃兰州 730070
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.251054
  CLC： TP392
- Received：21 January 2025，
  
  Published：15 April 2026
- 稿件说明：
移动端阅览
王昌龙,高源,桑秀娟等.基于本体的简牍数据访问方法研究[J].软件导刊,2026,25(04):27-34.

WANG Changlong,GAO Yuan,SANG Xiujuan,et al.Research on Ontology-based Data Access Method for Bamboo Slips[J].Software Guide,2026,25(04):27-34.
王昌龙,高源,桑秀娟等.基于本体的简牍数据访问方法研究[J].软件导刊,2026,25(04):27-34. DOI： 10.11907/rjdk.251054.

WANG Changlong,GAO Yuan,SANG Xiujuan,et al.Research on Ontology-based Data Access Method for Bamboo Slips[J].Software Guide,2026,25(04):27-34. DOI： 10.11907/rjdk.251054.

摘要

尽管目前已有许多博物馆对所藏的简牍文物开展了数字化工作，但这些工作大多基于传统的关系型数据库和磁盘文件进行数据存储，难以实现知识的互通互连，削弱了数字化文物资源共享的优势。针对该问题，提出一种面向多模态异构简牍数据的集成访问方法。在理论方面，提出面向多模态简牍学的本体构建框架以及基于本体的多模态简牍异构数据集成方案；在实践方面，在本体构建框架的基础上，以“居延新简”为例构建相应的简牍本体。在真实数据上开展实验，从系统灵活性、数据扩展性和单次查询耗时3个方面对集成系统的性能进行评价。结果表明，该系统的平均单次查询耗时约为54 ms，具备一定的实践意义和应用价值。

Abstract

Although many museums have carried out digital work on their bamboo slips and cultural relics， most of these works are based on traditional relational databases and disk files for data storage， which makes it difficult to achieve knowledge interconnection and weakens the advantages of digital cultural relics resource sharing. A method for integrated access of multimodal heterogeneous bamboo slips data is proposed to address this issue. In terms of theory， propose an ontology construction framework for multimodal bamboo slips and an ontology based heterogeneous data integration scheme for multimodal bamboo slips； In practice， based on the ontology construction framework， take "Juyan New Bamboo Slips" as an example to construct the corresponding bamboo slips ontology. Conduct experiments on actual data to evaluate the performance of the integrated system from three aspects： system flexibility， data scalability， and single query time. The results show that the average query time of the system is about 54 ms， which has certain practical significance and application value.

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references

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