• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.1-9
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• 2008

Fuzzy Cognitive Map, one of ways to model, describe and infer reasoning relations, is widely used in the field of reasoning knowledge engineering. Despite of the natural and easy understanding of decision and smooth explanation of relation between front and rear, reasoning relation is organized with mathematical haziness and complex algorithm and rarely has an interactive user interface. This paper suggests an interactive Fuzzy Cognitive Map(FCM) construction support system. It builds a FCM increasingly concerning multiple experts' knowledge. Futhermore, it supports user-supportive environment by dynamically displaying the structure of Fuzzy Cognitive Map which is constructed by the interaction between experts and the system.

• Construction Engineering and Management
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• v.18 no.2
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• pp.31-43
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• 2017

• Korean Journal of Computational Design and Engineering
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• v.14 no.6
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• pp.382-389
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• 2009

Recently, knowledge management has been required in companies as a tool of competitiveness. Companies have constructed Enterprise Resource Planning(ERP) system in order to manage huge knowledge. But, it is not easy to formalize knowledge in organization. We focused on data mining system by genetic programming(GP). Data mining system by genetic programming can be useful tools to derive and extract the necessary information and knowledge from the huge accumulated data. However when we don't have enough amounts of data to perform the learning process of genetic programming, we have to reduce input parameter(s) or increase number of learning or training data. In this study, an enhanced data mining method combining Genetic Programming with Self organizing map, that reduces the number of input parameters, is suggested. Experiment results through a prototype implementation are also discussed.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.47-49
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• 2003

Automatic land use and land cover change (LUCC) detection via remotely sensed imagery has a wide application in the area of LUCC research, nature resource and environment monitoring and protection. Under the condition that one time (T1) data is existed land use and land cover maps, and another time (T2) data is remotely sensed imagery, how to detect change automatically is still an unresolved issue. This paper developed a land use and land cover class knowledge guided method for automatic change detection under this situation. Firstly, the land use and land cover map in T1 and remote sensing images in T2 were registered and superimposed precisely. Secondly, the remotely sensed knowledge database of all land use and land cover classes was constructed based on the unchanged parcels in T1 map. Thirdly, guided by T1 land use and land cover map, feature statistics for each parcel or pixel in RS images were extracted. Finally, land use and land cover changes were found and the change class was recognized through the automatic matching between the knowledge database of remote sensing information of land use & land cover classes and the extracted statistics in that parcel or pixel. Experimental results and some actual applications show the efficiency of this method.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.67-81
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• 2018

Technology commercialization is a reward process for companies' various trials and investment to develop technologies, which can be regarded as a way to figure out company's business performance. To successfully attain companies' purpose via technology commercialization, a variety of knowledge which triggers and completes business activities are needed. This paper suggests a methodology to analyze problems and solutions around the technology commercialization process in terms of knowledge distribution status, especially focused on Korean SMC cases. The knowledge map of this paper is constructed from the knowledge networks and identifies problems and solutions of the target process. A case study for applying proposed concepts to SMC's cases is also performed by checking knowledge distribution status and extracting practical implications. This paper's ideas can be regarded as one of references for SMCs to prepare technology commercialization with guaranteeing facilitated knowledge distribution and utilization.

• The KIPS Transactions:PartB
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• v.15B no.2
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• pp.147-158
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• 2008

Fuzzy Cognitive Map (FCM) and Bayesian Belief Network (BBN) are two major frameworks for modeling, representing and reasoning about causal knowledge. Despite their extensive use in causal knowledge engineering, there is no reported work which compares their respective roles. This paper aims to fill the gap by providing a qualitative comparison of the two frameworks through a systematic analysis based on some inherent features of the frameworks. We proposed a set of comparison criteria which covers the entire process of causal knowledge engineering, including modeling, representation, and reasoning. These criteria are usability, expressiveness, reasoning capability, formality, and soundness. The results of comparison have revealed some important facts about the characteristics of FCM and BBN, which will help to determine how FCM and BBN should be used, with respect to each other, in causal knowledge engineering.

• Korean Journal of Construction Engineering and Management
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• v.2 no.3 s.7
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• pp.45-57
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• 2001

Knowledge management was introduced as a new strategy in many construction companies aiming at paradigm shift since Asian financial Crisis. However, intensive focusing on acquiring and sharing knowledge couldn't keep pace with the primary goal. Increasing financial profits. That is because clear strategic process and performance measurement are absent in time of the introduction of knowledge management. Based on case analysis in domestic construction industry, this research work presents an alternative plan on Balanced Scorecard(BSC) model. The objective of this study is to develop a model of strategic performance measurement in knowledge management by sorting and grasping core operational knowledge, which can draw key performance indicators accompanied by knowledge map from case study.

• Journal of KIISE:Databases
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• v.34 no.6
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• pp.493-502
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• 2007

Due to a growing interest in searching and expressing knowledge effectively, knowledge management methods such as Topic Map are becoming more important. Topic Map organizes knowledge that is full of intricate relations, so maintaining and managing Topic Map consistently is very essential. TMCL and other constraint languages have limits as they can check simple constraints but can not support complex constraints like dependence constraints. Current constraint checking systems operating at the application level are also showing an inferiority in performance. In this paper, we extend TMCL based on the characteristics of other constraint languages in the information system field and related fields. We build and propose an RDBMS-based Topic Map constraint checking system to support the extended constraint language effectively. This new system handles complex types of constraints like dependency constraint as well as basic Topic Map constraints present in the TMCL. As the system examines each constraint it uses templates to generate queries for effective checking and overall shows a higher performance level than current systems.

• 중국학논총
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• no.63
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• pp.251-273
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• 2019

China in the sixteenth century was exposed to various problems, and the surrounding nations were growing as potential threats by building up their powers and forming an unstable political state by losing control of civilization in politics, economy, knowledge, ideas and ideas. Especially, Mateo Ricci's knowledge and ideas were enough to attract the Chinese knowledge society. However, the influx of Western astronomy and world maps was not only a substitute for the notion of heaven and earth of Chinese tradition, but it destroyed all the knowledge and ideology of China, the foundation of political power and knowledge power. It transformed China in the center of the world into China in some parts of the world. It also brought about a great change in the civilization map of culture and savagery. As a result, the relationship between 'center and periphery', 'civilization and barbarians' could not be established, and the title of Chinese as a unique and exclusive civilization could no longer be maintained.

• Korean Journal of Child Studies
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• v.32 no.3
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• pp.241-255
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• 2011

The purpose of this research was to analyze the concept map of kindergarten teachers concerning their levels of contents knowledge and their overall level of competency in terms of multi-cultural education. The participants were 104 teachers from 11 kindergartens in Busan. Data were analyzed by Sim's (2008) method based on Novak & Gowin (1984) and Morine-Dershimer (1993). The results were as follows. First, a majority of participants made a limited concept map and used 22 representative categories regarding multi-cultural education and the category of 'various nations' was the most popular superordinate concept. Second, the level of knowledge in terms of the maps were generally low in so far as most of maps reached hierarchy 1. The results of the research suggested that kindergarten teachers were lacking in basic knowledge of multi-cultual education and therefore there is a real need for both conceptualization and teacher training for multi-cultual education, reviewing of current 'teachers', 'manuals', and follow-up research aimed at analyzing teacher's multi-cultual education competence.