Browse > Article
http://dx.doi.org/10.15813/kmr.2018.19.3.003

Automated networked knowledge map using keyword-based document networks  

Yoo, Keedong (단국대학교 경영학부)
Publication Information
Knowledge Management Research / v.19, no.3, 2018 , pp. 47-61 More about this Journal
Abstract
A knowledge map, a taxonomy of knowledge repositories, must have capabilities supporting and enhancing knowledge user's activity to search and select proper knowledge for problem-solving. Conventional knowledge maps, however, have been hierarchically categorized, and could not support such activity that must coincide with the user's cognitive process for knowledge utilization. This paper, therefore, aims to verify and develop a methodology to build a networked knowledge map that can support user's activity to search and retrieve proper knowledge based on the referential navigation between content-relevant knowledge. This paper deploys keywords as the semantic information between knowledge, because they can represent the overall contents of a given document, and because they can play the role of semantic information on the link between related documents. By aggregating links between documents, a document network can be formulated: a keyword-based networked knowledge map can be finally built. Domain expert-based validation test was also conducted on a networked knowledge map of 50 research papers, which confirmed the performance of the proposed methodology to be outstanding with respect to the precision and recall.
Keywords
knowledge map; knowledge taxonomy; associated knowledge; referential navigation; document network;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Tao, Y. Wu, Y. and Li, J. 2006. "A taxonomy of knowledge maps in business application," Proceedings of the 35th Annual Meeting of Western Decision Institute, pp. 1-21.
2 Gordon, J.L. 2000. "Creating knowledge maps by exploiting dependent relationships," Knowledge-Based Systems (13), pp. 71-79.   DOI
3 Guillaume, D. Nabil, B. and Franois, L. 2013. "Graph theory-based model for learning path recommendation," Information Sciences (251:4), pp. 10-21.   DOI
4 Hanewald, R. 2012. "Cultivating life-long learning skills in undergraduate students through the collaborative creation of digital knowledge maps," Procedia-Social and Behavioral Sciences (69), pp. 847-853.   DOI
5 Kim, S. Suh, E. and Hwang, H. 2003. "Building the knowledge map: an industrial case study". Journal of Knowledge Management (7:2), pp. 34-45.   DOI
6 Klimek, P. Jovanovic, A.S. Egloff, R. and Schneider, R. 2016. "Successful fish go with the flow: citation impact prediction based on centrality measures for term-document networks," Scientometrics (107), pp. 1265-1282.   DOI
7 Lin, F. and Yu, J. 2009. "Visualized cognitive knowledge map integration for P2P networks," Decision Support Systems (46:4), pp. 774-785.   DOI
8 Mansingh, G. Osei-Bryson, K. and Reichgelt, H. 2009. "Building ontology-based knowledge maps to assist knowledge process outsourcing decisions," Knowledge Management Research & Practice (7), pp. 37-51.   DOI
9 Powers, D.M. 2011, "Evaluation: from Precision, Recall and F-measure to ROC, Informedness, Markedness and Correlation," Journal of Machine Learning Technologies (2:1), pp. 37-63.
10 Rao, L. Mansingh, G. and Osei-Bryson, K.M. 2012. "Building ontology based knowledge maps to assist business process re-engineering," Decision Support Systems (52:3), pp. 577-589.   DOI
11 Rose, S. Engel, D. Cramer, N. and Cowley, W. 2010. "Automatic keyword extraction from individual documents," Text Mining: Applications and Theory (Wiley Online Library), pp. 3-20.
12 유기동 2012. "지식 간 상호참조적 네비게이션이 가능한 온톨로지 기반 프로세스 중심 지식지도," 지능정보연구 (18:2), pp. 61-83.   DOI
13 Strehl, A. Ghosh, J. and Mooney, R. 2000. "Impact of similarity measures on webpage clustering," Workshop on artificial intelligence for web search (AAAI 2000), pp. 64.
14 유기동 2008. "지식근로자의 상황정보를 이용한 자율적 지식획득방법론: 대화형 지식의 획득을 위한 차세대형 지식경영시스템," 지식경영연구 (9:4), pp. 65-75.
15 유기동 2012. "지식 간 상호참조적 네비게이션이 가능한 프로세스 기반 반자동화 지식지도," 지식경영연구 (13:1), pp. 1-12.
16 Bayardo, R.J. Ma, Y. and Srikant, R. 2007. "Scaling up all pairs similarity search," Proceedings of the 16th international conference on World Wide Web, pp.131-140.
17 Chan, C. and Yu, S. 2011. "Functional ontology and concept maps for knowledge navigation: an application example for contest robot," Information Technology Journal (10:9), pp. 1740-1746.   DOI
18 Yoo, K. 2013. "Autonomous and pervasive computing-based knowledge service," Lecture Notes in Electrical Engineering (156), pp. 9-14.
19 Wan, S. and Niu, Z. 2016. "A learner oriented learning recommendation approach based on mixed concept mapping and immune algorithm," Knowledge-Based Systems (103), pp. 28-40.   DOI
20 Xu, Z. Wei, X. Luo, X. Liu, Y. Mei, L. Hu, C. and Chen, L. 2015. "Knowle: A semantic link network based system for organizing large scale online news events," Future Generation Computer Systems (43-44), pp. 40-50.   DOI
21 Yoo, K. Suh, E. and Kim, K. 2007. "Knowledge flow-based business process redesign: applying a knowledge map to redesign a business process," Journal of Knowledge Management (11:3), pp. 104-125.   DOI
22 Zhao, Q. Zhang, Y. and Chen, J. 2017. "An improved ant colony optimization algorithm for recommendation of micro-learning path," IEEE International Conference on Computer and Information Technology, pp. 190-196.
23 Eppler, M. J. 2008. "A process-based classif ication of knowledge maps and application examples," Knowledge and Process Management (15:1), pp. 59-71.   DOI
24 Zhu, H. Tian, F. Wu, K. Shah, N. Chen, Y. Ni, Y. Zhang, X. Chao, K-M. and Zheng, Q. 2018. "A multi-constraint learning path recommendation algorithm based on knowledge map," Knowledge-Based Systems (143), pp. 102-114.   DOI
25 Zhuge, H. and Zhang, J. 2011. "Automatically constructing semantic link network on documents," Concurrency and Computation: Practice and Experience (23), pp. 956-971.   DOI
26 Zobel, J. and Moffat, A. 1998. "Exploring the similarity space," ACM SIGIR Forum, pp. 18-34.
27 Frantzi, K. Ananiadou, S. and Mima, H. 2000. "Automatic recognition of multi-word terms: the C-value/NC-value Method," International Journal of Digital Libraries (3:2), pp. 117-132.