[1]蒋金亮,徐云翼,杨 晗,等.基于知识图谱和大模型的文化遗产展示和查询方法研究——以大运河文化遗产为例[J].中国名城,2024,38(12):88-94.[doi:10.19924/j.cnki.1674-4144.2024.012.001]
　JIANG Jinliang,XU Yunyi,YANG Han,et al.Research on Cultural Heritage Display and Query Methods Based on Knowledge Graph and Large Model: Taking the Grand Canal Cultural Heritage as an Example[J].China Ancient City,2024,38(12):88-94.[doi:10.19924/j.cnki.1674-4144.2024.012.001]
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基于知识图谱和大模型的文化遗产展示和查询方法研究——以大运河文化遗产为例()
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中国名城[ISSN:1674-4144/CN:32-1793/GO]

卷:
38
期数:
2024年12期
页码:
88-94
栏目:
出版日期:
2024-12-05

文章信息/Info

Title:
Research on Cultural Heritage Display and Query Methods Based on Knowledge Graph and Large Model: Taking the Grand Canal Cultural Heritage as an Example
文章编号:
1674-4144（2024）012-0088-09
作者:
蒋金亮; 徐云翼; 杨 晗; 刘志超
蒋金亮，江苏省规划设计集团有限公司数据信息中心副主任工程师，高级工程师，大运河文化带建设研究院区域发展研究中心特约研究员，博士；徐云翼，江苏省规划设计集团有限公司数据信息中心工程师；杨 晗，江苏省规划设计集团有限公司城乡规划师；刘志超，江苏省规划设计集团城市更新规划设计院总设计师，研究员级高级工程师。
Author(s):
JIANG Jinliang; XU Yunyi; YANG Han; LIU Zhichao
关键词:
知识图谱; 大模型; 大运河; 文化遗产
Keywords:
knowledge graph; large model; the Grand Canal; cultural heritage
分类号:
TU984
DOI:
10.19924/j.cnki.1674-4144.2024.012.001
文献标志码:
A
摘要:
随着数字技术的不断发展，知识图谱、生成式大模型等技术在历史文化遗产展示、保护领域得到广泛研究和应用。本研究提出基于知识图谱和大模型的历史文化遗产展示和查询方法，以大运河文化遗产作为研究对象，采集文化遗产的管理属性和文化属性信息，通过RDF三元组方法构建文化遗产知识图谱，用于可视化展示和遗产搜索；利用生成式大模型方法，构建大运河文化遗产的自然语言生成方案，最终抽取、生成大运河历史文化遗产的具体知识。本文提出的文化遗产展示和查询方法，拓展了文化遗产数字化保护传承利用的视角，同时为其他相关文化遗产的可视化呈现、数字化管理提供参考。
Abstract:
With the continuous development of digital technology, methods such as knowledge graph and generative large model have been widely researched and applied in the field of the display and protection of historical and cultural heritage. This study proposes a historical cultural heritage display and query method based on knowledge graph and large model, collects the information of management attributes and cultural attributes of the heritage by taking the cultural heritage of the Grand Canal as the research object, constructs the cultural heritage knowledge graph through the RDF ternary method for visual display and heritage search, constructs the natural language generating scheme of the Grand Canal by using the generative large model method, and finally extracts and generates specific knowledge of the historical and cultural heritage of the Grand Canal. The cultural heritage display and search method proposed in this paper expands the perspective of digital protection, inheritance and utilization of cultural heritage, and at the same time provides reference for the visual presentation and digital management of other related cultural heritage.

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更新日期/Last Update: 2025-01-08