[Purpose/significance] Thesauri associative relationships play an important role in indexing and information retrieval, classification and property definition of associative relationships have important significances in information organization.[Method/process] This paper analyzed the characteristics of interspecies relationships in ecology and thesauri associative relationships, and established the link between them. Then, through the combination of different characteristics, it classified the associative relationships by interspecies relationships. Finally, it discussed the construction of associative relationship from the perspective of interspecies relationship.[Result/conclusion] The associative relationships can be classified into four kinds of interspecies relationships, including predation, symbiosis, competition, parasitism. Different associative relationships have different properties, and the classification of associative relationships can provide a new way for the construction of associative relationship.
Li Yongze
,
Chang Chun
. A Study on Classification of Thesauri Associative Relationships Based on the Interspecies Relationships in Ecology[J]. Library and Information Service, 2018
, 62(8)
: 123
-129
.
DOI: 10.13266/j.issn.0252-3116.2018.08.016
[1] CHOI S D, 王一丁. 利用叙词表开发本体[J]. 数字图书馆论坛, 2007(5):18-23.
[2] International organization for standardization. Information and documentation-Thesauri and interoperability with other vocabularies-part 1:Thesauri for information retrieval:ISO-25964[S].Switzerland, 2011:63-66.
[3] 全国文献工作标准化技术委员会.汉语叙词表编制规则, GB13190-91[S]. 中国标准出版社, 1992:11-12.
[4] 中国国家标准化管理委员会. 信息与文献——叙词表及其与其他词表的互操作:GB/T 13190.1-2015[S]. 北京:中国标准出版社, 2015:51-54.
[5] 袁旭. 网络环境下叙词表相关关系构建研究[D]. 北京:中国科学技术信息研究所, 2012.
[6] 薛建武, 赵娜, 王东娜. 面向本体构建的叙词表词间关系细化和应用研究[J]. 现代图书情报技术, 2013(3):14-20.
[7] 顾德南. 冶金工业主题词表词间相关关系的研究[J]. 冶金信息导刊, 2013(1):63-66.
[8] 任瑞娟, 刘丽斌, 米佳, 等. 中文叙词词间关系改造及其在本体构建中的应用研究[EB/OL].[2017-03-21]. http://www.chinalibs.net/Upload/Pusfile/2014/1/18/201411810844537.pdf.
[9] 孙亮. 面向本体的中文叙词词间关系改造研究[D]. 保定:河北大学, 2010.
[10] 刘丽斌, 任瑞娟, 米佳, 等. 基于叙词表构建本体的中文叙词词间关系细化研究[J]. 山东图书馆学刊, 2010(1):73-76.
[11] 裘江南, 张彬. 客观知识体系中基于语义域的语义关系组合分类模型研究[J]. 情报学报, 2012,31(6):564-573.
[12] 周佳逸. 基于张量递归神经网络的英文语义关系分类方法研究[J]. 现代计算机:普及版, 2015(11):43-47.
[13] 常春. 面向叙词表构建的知识组织生态系统研究[J]. 图书情报工作, 2016,60(15):101-107.
[14] 李永泽, 常春. 基于生态学能量传递的词族层次结构研究[J]. 情报杂志, 2017,36(3):161-164.
[15] 杨婧, 常春. 基于生态位法则的概念稳定性研究[J]. 图书情报工作, 2016,60(13):27-32.
[16] 杨婧, 常春. 基于Logistic种群增长规律的概念词频变化研究[J]. 情报科学, 2017,35(8):15-18.
[17] 汉语主题词表工程技术卷编委会. 汉语主题词表(工程技术卷)[M]. 北京:科学技术文献出版社, 2014.
[18] 林文雄. 生态学[M]. 2版. 北京:科学出版社, 2013.
[19] 徐硕, 乔晓东, 朱礼军. 几种叙词表复杂逻辑错误检查算法研究[J]. 数字图书馆论坛, 2010(8):55-58.
