摘要
耕织图像是艺术领域重要的图像资源,在人工智能技术与网络技术的驱动下,提出一种面向耕织图像的数字资源开发,实现多种载体形式的耕织图像资源数据知识图谱构建、主题性检索功能设计,以满足知识服务需求.构建耕织图像知识图谱与数据关联,选取各种载体形式的耕织图像资料为数据来源,搭建图文资料图数据库,并在此基础上构建本体知识图谱,以充分挖掘利用图像知识.基于关联数据构建作品的知识图谱模型,能够揭示耕织图像的语义信息,为各种载体形式的耕织图像资料的数据化转换提供新方法和新思路,既能揭示耕织图像之间隐藏的关系,又能比较分析耕织图像中未知图像的内涵,以及耕织图像中所涵盖的关于耕作和纺织图像技术、工具、动能等的发展演变.
Abstract
Farming and weaving images are important image resources in the art field.The paper propo-ses a digital development for images of farming and weaving to construct the knowledge graph in various formats,and to design thematic search function for knowledge service.In the design research,the paper aims to construct data association,build graphic archive and ontology knowledge graph based on relevant images and texts.The knowledge graph model based on associated data can reveal the semantic information of farming and weaving images and provide new methods and ideas for their data conversion.The applica-tion of knowledge graph helps to obtain the hidden relations among images,interpret the connotation of unfamiliar farming and weaving images through comparison and analysis,and learn more about the evolu-tion of farming and textile technology.
基金项目
教育部教育类教指委中文专委会——北京语言文字工作协会 2024年度教育教学改革重点课题(2024JGZD012)
2018年度全国高校古籍整理研究项目(1859)
NETL
NSTL
万方数据