[Purpose/significance] The rapid development and wide application of information technology certainly promote the reform of Dunhuang studies, which make the utilization of Dunhuang studies and its knowledge resources more convenient. Because of the traditional knowledge platform and retrieval method of databases, the value mining of knowlegde of Dunhuang documents images is not complete. Therefore, this paper combs the research of Dunhuang documents images and gives a full semantic description for the depth and breadth of their knowledge, exploring the multiple values of Dunhuang documents images. [Method/process] Through the consideration and semantic description of present researches of Dunhuang documents images, hierarchical model of semantic features was designed in light of their semantic features. The organizational model was constructed by combing intelligent+ and linked data. And this paper deeply analyzes knowledge association of the Dunhuang documents images and the data collection layer, the semantic description layer, the data association layer and the resource application layer of the hierarchical model. [Result/conclusion] The paper puts forward the practical value of the knowledge association model of Dunhuang documents, which can open the connection channel with outside data, improve the retrieval intelligentized quality of Dunhuang documents images, and enhance its depth and breadth of the knowledge service.
Cheng Jiejing
,
Wang Xinyu
. Knowledge Association and Semantic Description of Dunhuang Documents Images[J]. Library and Information Service, 2021
, 65(7)
: 123
-131
.
DOI: 10.13266/j.issn.0252-3116.2021.07.012
[1] 白海燕,乔晓东.基于本体和关联数据的书目组织语义化研究[J].现代图书情报技术,2010(9):18-27.
[2] 陈涛,夏翠娟,刘炜,等.关联数据的可视化技术研究与实现[J].图书情报工作,2015,59(17):113-119.
[3] 国际敦煌项目[EB/OL].[2021-03-25].http://idp.nlc.cn/.
[4] 姜涛,杨学勇.敦煌学数字化的现状及评析[J].图书与情报,2008(6):115-118.
[5] 敦煌文献数字图书馆[EB/OL].[2021-03-25].http://dunhuang.hanjilibrary.com/.
[6] 曾子明,周知.面向数字人文的图像语义描述模型研究[J].情报理论与实践,2018,41(1):116-121.
[7] 张兴旺,卢桥,田清.大数据环境下非遗视觉资源的获取、组织与描述[J].图书与情报,2016(5):48-55.
[8] 齐云飞,赵宇翔,朱庆华.关联数据在数字图书馆移动视觉搜索系统中的应用研究[J].数据分析与知识发现,2017,1(1):81-90.
[9] 张永娟,刘炜,于建荣,等.基于IIIF和语义知识图谱的印章资源整合与知识发现研究[J].图书情报工作,2020,64(7):127-135.
[10] 陆泉,韩阳,陈静,等.三种图像语义标注模式的标注效果对比研究[J].情报理论与实践,2015,38(3):122-127.
[11] 陈金菊,欧石燕.数字图像语义标注模型比较与分析[J].图书情报工作,2018,62(6):116-124.
[12] 陈金菊.图像语义标注研究综述[J].图书馆学研究,2017(18):2-7,20.
[13] 张志武.基于本体的Web图像语义标注与检索模型[J].情报科学,2015,33(4):121-124,131.
[14] 王晓光,徐雷,李纲.敦煌壁画数字图像语义描述方法研究[J].中国图书馆学报,2014,40(1):50-59.
[15] 宋志浩.基于本体的敦煌壁画信息语义检索系统研究与实现[D].杭州:浙江大学,2010.
[16] 王晓光,侯西龙,程航航,等.敦煌壁画叙词表构建与关联数据发布[J].中国图书馆学报,2020,46(4):69-84.
[17] 武琼芳.《敦煌画研究》中文译本出版[J].敦煌研究,2019(6):141.
[18] 沙武田,邰惠莉.20世纪敦煌白画研究概述[J].敦煌研究,2001(1):164-168,192.
[19] 张培君.敦煌藏经洞出土遗画中供养人图像初探[J].敦煌研究,2007(4):91-97.
[20] 敦煌研究院. 敦煌遗书总目索引新编[M].施萍婷,主撰稿; 邰惠莉,助编.北京:中华书局,2000.
[21] 袁婷.敦煌藏经洞山土绘画品研究史[D].兰州:兰州大学,2012.
[22] 杨树云.从敦煌绢画《引路菩萨》看唐代的时世妆[J].敦煌学辑刊,1983:92-97.
[23] 王磊,朱学芳.图像检索中的元数据分析[J].情报科学,2005(9):1414-1417.
[24] 王向前,张宝隆,李慧宗.本体研究综述[J].情报杂志,2016,35(6):163-170.
[25] 吴坤玲.海南省高校图书馆个性化知识服务研究[J].图书馆学研究,2013(14):52-55.