文章摘要

王晓光,侯西龙,程航航,夏生平.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
敦煌壁画叙词表构建与关联数据发布
The Construction and Linked Data Publishing of Dunhuang Mural Thesaurus
投稿时间:2019-12-10  修订日期:2020-02-19
DOI:
中文关键词: 敦煌壁画  叙词表  知识组织系统  关联数据  数字人文
英文关键词: Dunhuang murals  Thesaurus  Knowledge organization system  Linked data  Digital humanities
基金项目:本文系国家自然科学基金创新研究群体项目“信息资源管理”(编号:71921002)和湖北省自然科学基金创新研究群体项目“大数据资源语义组织与管理应用研究”(编号:2019CFA025)的研究成果之一
作者单位
王晓光 武汉大学信息管理学院 湖北 武汉 430072 
侯西龙 武汉大学信息管理学院 湖北 武汉 430072 
程航航 武汉大学信息管理学院 湖北 武汉 430072 
夏生平 武汉大学信息管理学院 湖北 武汉 430072 
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中文摘要:
      叙词表在知识组织中发挥着重要作用,然而敦煌壁画领域叙词表的缺失,限制了敦煌壁画研究及其价值的挖掘。通过建立一套规范、全面的敦煌壁画领域叙词表,可以为网络环境下敦煌壁画数字资源语义标注、信息检索和知识组织等提供智力和技术支撑。本文详细阐述敦煌壁画叙词表的构建与其关联数据发布过程,采用自顶向下与自底向上相结合的领域叙词表构建方法,提高叙词表建设效率的同时保证叙词表的高质量。在此基础上,研究实现敦煌壁画叙词表关联数据发布和可视化,与外部词表进行语义关联,并提供开放数据服务。敦煌壁画叙词表的构建和编制,可促进敦煌壁画领域数字人文应用的开发,也为我国文化遗产领域受控词表的建设提供了重要参考和借鉴。图8。表5。参考文献40。
英文摘要:
Thesauri play an important role in knowledge organization. Nevertheless,the absence of Dunhuang mural thesaurus sets limits on Dunhuang mural studies and its value exploration. The development of the thesaurus is a foundation work of information resource management of Dunhuang murals,which can not only provide a controlled and structured vocabulary for the standardized information resource organization of Dunhuang murals but also provide a clear knowledge system for Dunhuang murals researches. In order to speed up the construction of thesaurus and meet the needs of dynamic updating of knowledge organization,the development of thesaurus needs to adopt the machine assisted semi-automatic cooperative development strategy,and give full play to the advantages of machine and experts,and realizes the rapid development and maintenance of thesaurus through human-computer cooperation.
This paper presents the method and procedure of the constructing and linked data publishing of Dunhuang mural thesaurus. A combination of top-down and bottom-up approach was used to develop the thesaurus. The top-down approach starts at the higher-level categories,and establishes a general framework for the thesaurus based on the objectives of the thesaurus. The basic structure of the thesaurus was developed by referring to the fundamental dictionary of Dunhuang studies and Art & Architecture Thesaurus (AAT). The thesaurus contains 5 facets including agents,objects,activities,time and physical attributes. Sub-categories were defined for each facet with total 25 second-level categories. The bottom-up approach builds up lower-level categories from the concepts extracted from the corpus with the help of natural language processing technology,and through the process of manually grouping and classification of the terms,definition of the semantic relations,adjustment and optimization of the structure. At present,Dunhuang mural thesaurus contains 4276 terms. After that,this paper studied and implemented linked data publishing of the Dunhuang mural thesaurus. The thesaurus was semantically represented and described with SKOS model,and the terms were mapped to AAT concepts using the SPARQL query. Finally,about 21 2% of the terms was linked to AAT. In the meantime,a linked data service platform of Dunhuang mural thesaurus was produced,providing concepts browsing,term retrieval,visualization,open data service,etc.
The originality of this research lies in the compilation of a controlled vocabulary for the Dunhuang murals with standard specific semantic relations and authoritative multi source scope notes. The thesaurus comprehensively covers mural protection and restoration,archaeology,iconography,human geography and other research perspectives. The construction of Dunhuang mural thesaurus lays an important foundation for the semantic annotation,information retrieval and knowledge organization of Dunhuang mural digital resource. It also has an important exemplary significance for the development of smart data resources in the field of cultural heritage in China. The future work contains further studies to improve the thesaurus's structure,categories,and terms Systematic evaluation of the thesaurus remains to be studied 8 figs. 5 tabs. 40 refs.
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