키워드 기반 문서 네트워크를 이용한 네트워크형 지식지도 자동 구성 = Automated networked knowledge map using keyword-based document networks

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

1 유기동, "지식근로자의 상황정보를 이용한 자율적 지식획득 방법론： 대화형 지식의 획득을 위한 차세대형 지식경영시스템" 한국지식경영학회 9 (9): 65-75, 2008

2 유기동, "지식 간의 상호참조적 네비게이션이 가능한 프로세스 기반 반자동화 지식지도" 한국지식경영학회 13 (13): 1-12, 2012

3 유기동, "지식 간 상호참조적 네비게이션이 가능한 온톨로지 기반 프로세스 중심 지식지도" 한국지능정보시스템학회 18 (18): 61-83, 2012

4 Lin, F., "Visualized cognitive knowledge map integration for P2P networks" 46 (46): 774-785, 2009

5 Rose, S., "Text Mining: Applications and Theory" Wiley Online Library 3-20, 2010

6 Klimek, P., "Successful fish go with the flow: citation impact prediction based on centrality measures for term-document networks" 107 : 1265-1282, 2016

7 Bayardo, R.J., "Scaling up all pairs similarity search" 131-140, 2007

8 Yoo, K., "Knowledge flow-based business process redesign: applying a knowledge map to redesign a business process" 11 (11): 104-125, 2007

9 Xu, Z., "Knowle: A semantic link network based system for organizing large scale online news events" 43-44 : 40-50, 2015

10 Strehl, A., "Impact of similarity measures on webpage clustering" 64-, 2000

11 Guillaume, D., "Graph theory-based model for learning path recommendation" 251 (251): 10-21, 2013

12 Chan, C., "Functional ontology and concept maps for knowledge navigation: an application example for contest robot" 10 (10): 1740-1746, 2011

13 Zobel, J., "Exploring the similarity space" 18-34, 1998

14 Powers, D.M., "Evaluation: from Precision, Recall and F-measure to ROC, Informedness, Markedness and Correlation" 2 (2): 37-63, 2011

15 Hanewald, R., "Cultivating life-long learning skills in undergraduate students through the collaborative creation of digital knowledge maps" 69 : 847-853, 2012

16 Gordon, J.L., "Creating knowledge maps by exploiting dependent relationships" 13 : 71-79, 2000

17 Kim, S., "Building the knowledge map: an industrial case study" 7 (7): 34-45, 2003

18 Mansingh, G., "Building ontology-based knowledge maps to assist knowledge process outsourcing decisions" 7 : 37-51, 2009

19 Rao, L., "Building ontology based knowledge maps to assist business process re-engineering" 52 (52): 577-589, 2012

20 Yoo, K., "Autonomous and pervasive computing-based knowledge service" 156 : 9-14, 2013

21 Zhuge, H., "Automatically constructing semantic link network on documents" 23 : 956-971, 2011

22 Frantzi, K., "Automatic recognition of multi-word terms: the C-value/NC-value Method" 3 (3): 117-132, 2000

23 Zhao, Q., "An improved ant colony optimization algorithm for recommendation of micro-learning path" 190-196, 2017

24 Tao, Y., "A taxonomy of knowledge maps in business application" 1-21, 2006

25 Eppler, M. J., "A process-based classif ication of knowledge maps and application examples" 15 (15): 59-71, 2008

26 Zhu, H., "A multi-constraint learning path recommendation algorithm based on knowledge map" 143 : 102-114, 2018

27 Wan, S., "A learner oriented learning recommendation approach based on mixed concept mapping and immune algorithm" 103 : 28-40, 2016