国内外图情领域信息抽取研究文献计量分析
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摘要
【目的/意义】图情领域在数字资源发现、组织与应用中越来越多使用到信息抽取技术,本文将对该领域在信息抽取技术方面的研究进展及应用情况等进行分析,为本领域相关人员提供参考。【方法/过程】以国内图书馆学、情报学领域中国核心期刊和国外33种图情期刊为信息源对其中刊载的信息抽取相关研究成果进行计量分析,检索过程不设置时间限制,并利用CNKI、EndNote、Excel、Python分析工具对主题相关的165篇中文文献和35篇外文文献进行年度趋势分析、期刊发文量分析、机构分析、作者分析以及论文主题分布研究。【结果/结论】得出图情领域信息抽取研究的发展趋势、重要的信息源、重要作者、主题研究以及信息抽取技术在图情领域的具体应用。
【Purpose/significance】 With the rapid development of networking, digitization, and big data, more and more information extraction technologies have been applied to digital resource discovery, organization, and applications. This article will review and analysis the research progress in the field of information extraction technology in this field to provide reference for the relevant personnel in the field.【Method/process】The data of 18 types of Chinese Core Journals and 32 foreign graphic journals in the field of domestic Library Science and Information Science were collected. Without limiting the years, the retrieved information was selected as the subject of research. In this article, CNKI, EndNote, Excel, and Python analysis tools were used to analyze the annual trends,the volume of journal articles,organizations, the authors and the distributive topics of 165 Chinese articles and 35 foreign articles related to topics.【Result/conclusion】It draws the development trend of information extraction research, important information sources, major authors, subject research, and the specific application of information extraction technology in the field of Library and Information Science.
【Purpose/significance】 With the rapid development of networking, digitization, and big data, more and more information extraction technologies have been applied to digital resource discovery, organization, and applications. This article will review and analysis the research progress in the field of information extraction technology in this field to provide reference for the relevant personnel in the field.【Method/process】The data of 18 types of Chinese Core Journals and 32 foreign graphic journals in the field of domestic Library Science and Information Science were collected. Without limiting the years, the retrieved information was selected as the subject of research. In this article, CNKI, EndNote, Excel, and Python analysis tools were used to analyze the annual trends,the volume of journal articles,organizations, the authors and the distributive topics of 165 Chinese articles and 35 foreign articles related to topics.【Result/conclusion】It draws the development trend of information extraction research, important information sources, major authors, subject research, and the specific application of information extraction technology in the field of Library and Information Science.
引文
1吴超,郑彦宁,化柏林.数值信息抽取研究进展综述[J].中国图书馆学报,2014,40(2):107-119.
2 Ralph Grishman. Information extraction:Techniques and Challenges.In Maria Teresa Pazienza,editor,Information Extraction[C]. Springer Verlag, Lecture Nots in Artificial Intelligence,Room,1997
3 邓尚民,孙玉伟.信息抽取系统的研究现状[J].现代图书情报技术,2006,(3):55-58,81.
4 马费成.情报学的进展与深化[J].情报学报,1996,15(5):338-344.
5 化柏林,张新民.从知识抽取相关概念辨析看知识抽取的特点和发展趋势[J].情报科学,2010,28(2):311-315.
6 谌志群,张国煊.文本挖掘研究进展[J].模式识别与人工智能,2005,18(1):65-74.
7 陆科进,李新颖.基于Ontology的文本信息抽取[J].计算机应用研究,2003,(7):46-48.
8 Maeda, T., Y. Momouchi and H. Sawamura. An automatic method for extracting singificant phrases in scientific or technical documents[J]. Information Processing&Management,1980,16(3):119-127.
9 Kwasnik, B. H. The role of classification in knowledge representation and discovery[J]. Library Trends,1999,48(1):22-47.
10 Lin, C.-H., C.-W. Yen, J.-S. Hong and S. Cruz-Lara.Event-based knowledge extraction from free-text descriptions for art images by using semantic role labeling approaches[J].Electronic Library,2008,26(2):215-225.
11 Zeng, W., C. Yao and H. Li.The exploration of information extraction and analysis about science and technology policy in China[J].Electronic Library,2017,35(4):709-723.
12 丁君军,郑彦宁,化柏林.基于规则的学术概念属性抽取[J].情报理论与实践,2011,34(12):10-14,33.
13 刘挺,吴岩,王开铸.基于信息抽取和文本生成的自动文摘系统设计[J].情报学报,1997,(S1):31-36.
14 胡昌平,林鑫,陈果.科技文献副主题词抽取及其在分面检索中的应用[J].情报学报,2014,33(8):837-845.
15 郑彦宁,化柏林.句子级知识抽取在情报学中的应用分析[J].情报理论与实践,2011,34(12):1-4.
16 邱亚娜.信息抽取在图书馆信息推送服务中的应用研究[J].图书馆工作与研究,2011,(1):46-47,55.
17 陈淑平,梁东魁.基于特征分析的数字化期刊元数据自动抽取算法[J].情报杂志,2010,29(3):143-146.
18 刘鲁红,刘力强,胡亚军.信息抽取技术在数字图书馆中的应用研究[J].情报理论与实践,2005,(3):321-324.
19 牟冬梅,陈倩,王丽伟.基于语义模型的数字图书馆知识组织信息抽取策略[J].图书情报工作,2009,53(15):21-25.
20 奉国和.基于GATE的数字图书馆信息抽取技术概述[J].情报杂志,2009,28(5):171-174.
21 李楠,吉久明,孙济庆,郑荣廷.基于事件抽取的竞争情报系统[J].情报理论与实践,2014,37(5):77-82.
22 余丰,朱东华.信息抽取技术在竞争情报研究中的应用[J].情报杂志,2006,(3):25-26,29.
23 徐萍,邵波.基于本体信息抽取的竞争情报预处理分析[J].情报杂志,2008,(9):33-35,38.
2 Ralph Grishman. Information extraction:Techniques and Challenges.In Maria Teresa Pazienza,editor,Information Extraction[C]. Springer Verlag, Lecture Nots in Artificial Intelligence,Room,1997
3 邓尚民,孙玉伟.信息抽取系统的研究现状[J].现代图书情报技术,2006,(3):55-58,81.
4 马费成.情报学的进展与深化[J].情报学报,1996,15(5):338-344.
5 化柏林,张新民.从知识抽取相关概念辨析看知识抽取的特点和发展趋势[J].情报科学,2010,28(2):311-315.
6 谌志群,张国煊.文本挖掘研究进展[J].模式识别与人工智能,2005,18(1):65-74.
7 陆科进,李新颖.基于Ontology的文本信息抽取[J].计算机应用研究,2003,(7):46-48.
8 Maeda, T., Y. Momouchi and H. Sawamura. An automatic method for extracting singificant phrases in scientific or technical documents[J]. Information Processing&Management,1980,16(3):119-127.
9 Kwasnik, B. H. The role of classification in knowledge representation and discovery[J]. Library Trends,1999,48(1):22-47.
10 Lin, C.-H., C.-W. Yen, J.-S. Hong and S. Cruz-Lara.Event-based knowledge extraction from free-text descriptions for art images by using semantic role labeling approaches[J].Electronic Library,2008,26(2):215-225.
11 Zeng, W., C. Yao and H. Li.The exploration of information extraction and analysis about science and technology policy in China[J].Electronic Library,2017,35(4):709-723.
12 丁君军,郑彦宁,化柏林.基于规则的学术概念属性抽取[J].情报理论与实践,2011,34(12):10-14,33.
13 刘挺,吴岩,王开铸.基于信息抽取和文本生成的自动文摘系统设计[J].情报学报,1997,(S1):31-36.
14 胡昌平,林鑫,陈果.科技文献副主题词抽取及其在分面检索中的应用[J].情报学报,2014,33(8):837-845.
15 郑彦宁,化柏林.句子级知识抽取在情报学中的应用分析[J].情报理论与实践,2011,34(12):1-4.
16 邱亚娜.信息抽取在图书馆信息推送服务中的应用研究[J].图书馆工作与研究,2011,(1):46-47,55.
17 陈淑平,梁东魁.基于特征分析的数字化期刊元数据自动抽取算法[J].情报杂志,2010,29(3):143-146.
18 刘鲁红,刘力强,胡亚军.信息抽取技术在数字图书馆中的应用研究[J].情报理论与实践,2005,(3):321-324.
19 牟冬梅,陈倩,王丽伟.基于语义模型的数字图书馆知识组织信息抽取策略[J].图书情报工作,2009,53(15):21-25.
20 奉国和.基于GATE的数字图书馆信息抽取技术概述[J].情报杂志,2009,28(5):171-174.
21 李楠,吉久明,孙济庆,郑荣廷.基于事件抽取的竞争情报系统[J].情报理论与实践,2014,37(5):77-82.
22 余丰,朱东华.信息抽取技术在竞争情报研究中的应用[J].情报杂志,2006,(3):25-26,29.
23 徐萍,邵波.基于本体信息抽取的竞争情报预处理分析[J].情报杂志,2008,(9):33-35,38.
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