基于云计算的满语数字资源语义关联模式研究
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摘要
【目的/意义】本文根据服务国家特殊需求"满族语言文化"博士人才培养项目需求,构建了满语数字资源语义关联模式,不仅为满语研究者的研习提供了便捷渠道,解决了大量满文文献的识别与翻译问题,进而促进了满语人才的培养,推进了实现对世界濒危语言——满语的抢救和保护工作。【方法/过程】本文以满语语义数字资源为研究对象,针对满文档案翻译的研究,利用云计算等技术,设计构建了满语语义资源体系结构、语义标注子系统、信息提取子系统等基于智能终端的满语语义数字资源关联模式,并实现了智能终端APP的推广应用。【结果/结论】本文构建的满语数字资源语义关联模型,助力了各部门满文档案翻译的智能化进程。同时,生成的智能便捷应用成果推动了满语文化的传承和发展,实现了满语研究数据的价值流动,对于抢救满语文化资源具有重要的意义。
【Purpose/significance】According to the special needs of serving the country, "Manchu Language and Culture" doctoral personnel training project, this paper constructs a semantic association model of Manchu digital resources, which not only provides a convenient channel for the study of Manchu researchers, but also solves the problems of identification and translation of a large number of Manchu documents, thus promoting the training of Manchu talents. It has promoted the rescue and protection of Manchu, the world's endangered language.【Method/process】This paper takes Manchu semantic digital resources as the research object, aiming at the research of Manchu document translation and using cloud computing technology, designs and constructs Manchu Semantic Digital Resources Association Model based on intelligent terminal,such as Manchusemantic resource architecture, semantic annotation subsystem and information extraction subsystem, and realizes the promotion and application of intelligent terminal APP.【Result/conclusion】The semantic association model of digital resources constructed in this paper helps the intellectualized process of full document translation in various departments. At the same time, the intelligent and convenient application results generated promote the inheritance and development of Manchu culture, and realize the value flow of Manchu research data, which is of great significance for rescuing Manchu cultural resources.
【Purpose/significance】According to the special needs of serving the country, "Manchu Language and Culture" doctoral personnel training project, this paper constructs a semantic association model of Manchu digital resources, which not only provides a convenient channel for the study of Manchu researchers, but also solves the problems of identification and translation of a large number of Manchu documents, thus promoting the training of Manchu talents. It has promoted the rescue and protection of Manchu, the world's endangered language.【Method/process】This paper takes Manchu semantic digital resources as the research object, aiming at the research of Manchu document translation and using cloud computing technology, designs and constructs Manchu Semantic Digital Resources Association Model based on intelligent terminal,such as Manchusemantic resource architecture, semantic annotation subsystem and information extraction subsystem, and realizes the promotion and application of intelligent terminal APP.【Result/conclusion】The semantic association model of digital resources constructed in this paper helps the intellectualized process of full document translation in various departments. At the same time, the intelligent and convenient application results generated promote the inheritance and development of Manchu culture, and realize the value flow of Manchu research data, which is of great significance for rescuing Manchu cultural resources.
引文
【1】黄丽丽,牟冬梅.基于关联数据的数字资源语义关联模式研究[J].图书情报工作, 2013, 57(17):11-15.
2 温剑锋.基于移动关联网技术的数字资源利用模式研究[J].广西教育, 2017,(23):189-190.
3 高劲松,程娅,梁艳琪.基于关联数据的图书馆数字资源语义关联研究[J].情报科学, 2017,35(1):8-13.
4 程娅.基于关联数据的图书馆数字资源语义关联模型研究[D].武汉:华中师范大学, 2015.
5 牟冬梅.专题:数字资源语义关联中的领域本体应用研究[J].图书情报工作, 2011,(23):7.
6 周伟,谭振江,于晓鹏.基于云计算的高校信息化资源服务区域经济体系框架构建[J].智能计算机与应用,2016, 6(2):98-99.
7 李海威.基于云计算的物联网数据网管的建设研究[J].计算机产品与流通,2017,(12):188-194.
8 毕强,牟冬梅,王丽伟,等.数字资源语义关联研究(I)——体系结构设计[J].数据分析与知识发现, 2010, 26(9):3-7.
9 吕华章,陈丹,范斌,等.云计算标准化进展与案例分析[J].计算机研究与发展, 2018, 55(3):487-511.
10 Shi W, Cao J, Zhang Q, et al. Edge Computing:Vision and Challenges[J].IEEE Internet of Things Journal, 2016, 3(5):637-646.
11 曾建勋,丁遒劲.基于语义的国家科技信息发现服务体系研究[J].中国图书馆学报, 2017, 43(4):51-62.
12 楼雯.馆藏资源语义化关键技术及实证研究[J].中国图书馆学报, 2013, 39(6):27-40.
13 孙明.与汉文“尔”“勒”相对应的满语音素(位)的研究[J].吉林师范大学学报, 2005, 33(3):98-100.
14 鲍玉来.基于领域本体的蒙医药学知识库构建与知识发现研究[D].长春:吉林大学, 2018.
15 白淑霞,鲍玉来,张晖.基于词向量包的自动文摘方法[J].现代情报, 2017, 37(2):8-13.
16 Tversky A. A feature of similarity[J].Psychological Review,1977,84(4):327-352.
17 Valerie C. Fuzzy semantic distance measures between ontological concepts[J].IEEE Annual Meeting of the Fuzzy Infor-mation,2004,(5):635-640.
18 Rodriguez M A,Egenhofer M J. Determining semantic similarity among entity classes from different ontologies[J].IEEE Transactions on Knowledge and Data Engineering,2003,15(2):442-456.
19 周伟,朱冰.基于差分进化算法的大数据智能搜索引擎研究[J].情报科学, 2018, 36(5):85-89.
2 温剑锋.基于移动关联网技术的数字资源利用模式研究[J].广西教育, 2017,(23):189-190.
3 高劲松,程娅,梁艳琪.基于关联数据的图书馆数字资源语义关联研究[J].情报科学, 2017,35(1):8-13.
4 程娅.基于关联数据的图书馆数字资源语义关联模型研究[D].武汉:华中师范大学, 2015.
5 牟冬梅.专题:数字资源语义关联中的领域本体应用研究[J].图书情报工作, 2011,(23):7.
6 周伟,谭振江,于晓鹏.基于云计算的高校信息化资源服务区域经济体系框架构建[J].智能计算机与应用,2016, 6(2):98-99.
7 李海威.基于云计算的物联网数据网管的建设研究[J].计算机产品与流通,2017,(12):188-194.
8 毕强,牟冬梅,王丽伟,等.数字资源语义关联研究(I)——体系结构设计[J].数据分析与知识发现, 2010, 26(9):3-7.
9 吕华章,陈丹,范斌,等.云计算标准化进展与案例分析[J].计算机研究与发展, 2018, 55(3):487-511.
10 Shi W, Cao J, Zhang Q, et al. Edge Computing:Vision and Challenges[J].IEEE Internet of Things Journal, 2016, 3(5):637-646.
11 曾建勋,丁遒劲.基于语义的国家科技信息发现服务体系研究[J].中国图书馆学报, 2017, 43(4):51-62.
12 楼雯.馆藏资源语义化关键技术及实证研究[J].中国图书馆学报, 2013, 39(6):27-40.
13 孙明.与汉文“尔”“勒”相对应的满语音素(位)的研究[J].吉林师范大学学报, 2005, 33(3):98-100.
14 鲍玉来.基于领域本体的蒙医药学知识库构建与知识发现研究[D].长春:吉林大学, 2018.
15 白淑霞,鲍玉来,张晖.基于词向量包的自动文摘方法[J].现代情报, 2017, 37(2):8-13.
16 Tversky A. A feature of similarity[J].Psychological Review,1977,84(4):327-352.
17 Valerie C. Fuzzy semantic distance measures between ontological concepts[J].IEEE Annual Meeting of the Fuzzy Infor-mation,2004,(5):635-640.
18 Rodriguez M A,Egenhofer M J. Determining semantic similarity among entity classes from different ontologies[J].IEEE Transactions on Knowledge and Data Engineering,2003,15(2):442-456.
19 周伟,朱冰.基于差分进化算法的大数据智能搜索引擎研究[J].情报科学, 2018, 36(5):85-89.
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