基于形式概念分析的知识发现研究态势
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摘要
【目的/意义】形式概念分析已逐渐发展为国内外解决特定知识发现问题的关键理论和工具之一,梳理基于形式概念分析的知识发现研究进展,并探寻国内外研究的类同及差异,有助于促进形式概念分析在知识发现领域的理论研究和实践应用。【方法/过程】以Web of Science和CNKI中相关文献为数据源,采用Cite Space4.0、SATI3.2、SPSS22以及Netdraw等计量分析软件从文献来源、年代分布、有效引文、学术期刊及关键词等方面进行可视化分析和国内外对比。【结果/结论】揭示了国内外利用形式概念分析实现相关领域知识发现的研究起源、知识基础、研究主体、研究热点及前沿主题,以期对同类研究提供启示。
【Purpose/significance】Formal concept analysis has gradually developed into one of the key theories and tools to solve the problem of specific knowledge discovery at home and abroad. Combining the research progress on knowledge discovery based on formal concept analysis and exploring the similarities and differences between domestic and foreign research, which helps to promote the theoretical research and practical application.【Method/process】Using literature data on FCA from Web of Science and CNKI, literature sources, year distribution, effective citation, journals and keywords are used to visually analyze and contrast by metrology analysis software named Cite Space4.0, SATI3.2, SPSS22 and Netdraw.【Result/conclusion】It reveals the research origin, knowledge structure, research subject, research hotspots and the frontier topic of knowledge discovery in related fields, which provides inspiration for similar study.
【Purpose/significance】Formal concept analysis has gradually developed into one of the key theories and tools to solve the problem of specific knowledge discovery at home and abroad. Combining the research progress on knowledge discovery based on formal concept analysis and exploring the similarities and differences between domestic and foreign research, which helps to promote the theoretical research and practical application.【Method/process】Using literature data on FCA from Web of Science and CNKI, literature sources, year distribution, effective citation, journals and keywords are used to visually analyze and contrast by metrology analysis software named Cite Space4.0, SATI3.2, SPSS22 and Netdraw.【Result/conclusion】It reveals the research origin, knowledge structure, research subject, research hotspots and the frontier topic of knowledge discovery in related fields, which provides inspiration for similar study.
引文
1 Priss U.Formal concept analysis in information science[J].Annual Review of Information Science&Technology,2006,40(1):521-543.
2 Poelmans J,Kuznetsov S O,Ignatov D I,et al.Formal concept analysis in knowledge processing:A survey on models and techniques[J].Expert Systems with Applications An International Journal,2013,40(16):6601-6623.
3 毕强,滕广青.国外形式概念分析与概念格理论应用研究的前沿进展及热点分析[J].现代图书情报技术,2010,(11):17-23.
4 石光莲,张敏,郑伟伟.形式概念分析在Folksonomy中的应用研究进展[J].图书情报工作,2014,58(9):136-142.
5 Shao M W,Li K W.Attribute reduction in generalized one-sided formal contexts[J].Information Sciences,2016,(378):317-327.
6 Ignatov D I.Introduction to formal concept analysis and its applications in information retrieval and related fields[J].Communications in Computer and Information Science,2015,(505):42-141.
7 Kim H J,Yune H J,Lee J,et al.Concept networkbased personalized web search[J].International Journal on Information,2012,15(8):3531-3541.
8 Vicient C,Sánchez D,Moreno A.An automatic approach for ontology-based feature extraction from heterogeneous textual resources[J].Engineering Applications of Artificial Intelligence,2013,26(3):1092-1106.
9 Chen R C,Bau C T,Yeh C J.Merging domain ontologies based on the Word Net system and Fuzzy Formal Concept Analysis techniques[J].Applied Soft Computing,2011,11(2):1908-1923.
10 屈华,李赛美,洪文学,等.基于多层次复杂概念网络表示原理的《伤寒论》群结构知识发现方法研究[J].中华中医药杂志,2013,28(5):1241-1246.
2 Poelmans J,Kuznetsov S O,Ignatov D I,et al.Formal concept analysis in knowledge processing:A survey on models and techniques[J].Expert Systems with Applications An International Journal,2013,40(16):6601-6623.
3 毕强,滕广青.国外形式概念分析与概念格理论应用研究的前沿进展及热点分析[J].现代图书情报技术,2010,(11):17-23.
4 石光莲,张敏,郑伟伟.形式概念分析在Folksonomy中的应用研究进展[J].图书情报工作,2014,58(9):136-142.
5 Shao M W,Li K W.Attribute reduction in generalized one-sided formal contexts[J].Information Sciences,2016,(378):317-327.
6 Ignatov D I.Introduction to formal concept analysis and its applications in information retrieval and related fields[J].Communications in Computer and Information Science,2015,(505):42-141.
7 Kim H J,Yune H J,Lee J,et al.Concept networkbased personalized web search[J].International Journal on Information,2012,15(8):3531-3541.
8 Vicient C,Sánchez D,Moreno A.An automatic approach for ontology-based feature extraction from heterogeneous textual resources[J].Engineering Applications of Artificial Intelligence,2013,26(3):1092-1106.
9 Chen R C,Bau C T,Yeh C J.Merging domain ontologies based on the Word Net system and Fuzzy Formal Concept Analysis techniques[J].Applied Soft Computing,2011,11(2):1908-1923.
10 屈华,李赛美,洪文学,等.基于多层次复杂概念网络表示原理的《伤寒论》群结构知识发现方法研究[J].中华中医药杂志,2013,28(5):1241-1246.