[Purpose/significance] This paper explores the feasibility and techniques for mining an author's research ideas from his/her technical paper, so readers can obtain new insights efficiently. [Method/process] This paper aims at generating a new and valuable research idea efficiently in the research process. This paper proposes a text mining method for extracting a microscopic concept map (MCM) from a single scientific paper. This MCM visually describes the main knowledge structure of the author used in the paper. Then, through quantitative analysis of the concepts and their relationships in MCM, one can mine the author's research focus and the source of his new research ideas. [Result/conclusion] This paper selects a scientific paper about clustering method which published in Science in 2014,then extracts the MCM of the paper and shows the mining process of the research ideas, to verify the effectiveness of this method.
Ren Haiying
,
Shi Tong
. The Construction of Microscopic Concept and the Mining of Research Ideas in Scientific Papers[J]. Library and Information Service, 2016
, 60(4)
: 115
-124
.
DOI: 10.13266/j.issn.0252-3116.2016.04.016
[1] CHOI S,PARK H, KANG D,et al. An SAO-based text mining approach to building a technology tree for technology planning[J]. Expert Systems with Applications, 2012, 39(13):11443-11455.
[2] SEANSON D R. Fish oil, Raynaud's syndrome, and undiscovered public knowledge[J]. Perspective in biology and medicine,1986, 30(1): 7-18.
[3] THORLEUCHTER D,VAN DEN POEL D, PRINZIE A. Mining ideas from textual information[J]. Expert systems with applications, 2010, 37(10):7182-7188.
[4] THORLEUCHTER D,VAN DEN POEL D. Web mining based extraction of problem solution ideas[J]. Expert systems with applications, 2013, 40(10):3961-3969.
[5] 任海英, 石彤.知识视角下的发明过程研究综述[J].科技进步与对策, 2015,32(13):156 - 160.
[6] NOVAK J, GOWIN D. Learning how to learn[M]. New York: Cambridge University Press, 1984.
[7] A summary of literature pertaining to the use of concept mapping techniques and technologies for education and performance support[EB/OL].[2016-01-03].http://www.choo-do.com/teza/wp-content/uploads/2014/12/2003-IHMC-Literature-Review-on-Concept-Mapping.pdf..
[8] 马费成, 郝金星. 概念地图在知识表示和知识评价中的应用(Ⅰ):概念地图的基本内涵[J]. 中国图书馆学报, 2006(3): 5-9.
[9] FURDK K, PARALIC J, SMRZ P. Classifiation and automatic concept map creation in elearning environment[EB/OL].[2016-01-03].http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.145.5875&rep=rep1&type=pdf.
[10] LIU S H, LEE G G. Using a concept map knowledge management system to enhance the learning of biology[J]. Computers & education, 2013,68(4):105-116.
[11] ZUBRINIC K, KALPIC D, MILICEVIC M. The automatic creation of concept maps from documents written using morphologically rich languages[J]. Expert systems with applications, 2012, 39(16):12709-12718.
[12] CHEN N S,WEI C W,CHEN H J. Mining e-learning domain concept map from academic articles[J]. Computers & education, 2008, 50(3):1009-1021.
[13] QASIM I, JEONG J W, HEU J U,et al. Concept map construction from text documents using affinity propagation[J]. Journal of information science, 2013, 39(6):719-736.
[14] SCHILLING M A. A "small-world" network model of cognitive insight[J]. Creativity research journal, 2005, 17(2/3): 131-154.
[15] GETOOR L, DIEFL C P.Link mining:a survey[J].ACM SIGKDD explorations newsletter,2005,7(2):3-12.
[16] RODRIGUEZ A, LAIO A. Clustering by fast search and find of density peaks[J]. Science, 2014, 344(6191):1492-1496.
