• Title/Summary/Keyword: Knowledge-Based Model

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Implementing the Model of Ontology-Based Knowledge Repository for Integrating Financial Firm's Implicit and Explicit Knowledge (은행의 암묵적 지식과 형식적 지식의 통합관리를 위한 온톨로지기반 지식 리포지토리 모형 개발 연구)

  • Kim, Hyun-Hee
    • Journal of the Korean Society for information Management
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    • v.22 no.2 s.56
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    • pp.229-251
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    • 2005
  • Many Korean financial firms have built knowledge management systems, however, most of the systems have fragmentary ideas or suggestions. This study proposes the model of ontology-based knowledge repository through which one could integrate knowledge for business use in the BPM environments. The knowledge includes implicit and explicit knowledge. library materials, documents, and information for experts as well. In order to get basic ideas for this model, case studies utilized interviews and surveys were conducted targeting at four Korean banks' knowledge managers, librarians and thirty staffs.

Factors Accepting KMS and the Moderating Role of Resistance in Public Sector (공공기관에서의 지식관리시스템 수용의 영향요인과 저항의 조절효과)

  • Park, Tong-Jin;Bae, Dong-Rock
    • The Journal of Information Systems
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    • v.17 no.2
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    • pp.73-94
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    • 2008
  • Knowledge is a fundamental assets, therefore, the ability to create, acquire, integrate, and share knowledge has emerged as a fundamental organizational capability(Sambamurthy and Subramani, 2005). This apaper reports the results of an empirical study investigating the factors of acceptance and the moderating role of resistance in Knowledge Management Systems(KMS). The research model is based on the theory of planned behavior(TPB) and technology acceptance model(TAM). It includes the perceived usefulness instead of attitude, subjective norm, perceived behavior control and intention of acceptance of KMS. Also, three external variables namely task-technology fit, organizational support, and perceived rewards are added. In the research model, all hypothrses of the baseline model and the moderating effects of resistance were found to be significant. The authors also of fred several implications based chi the findings.

Development of a Spider Inquiry Program for Elementary Students based on the Scientific-Knowledge Generation Model (과학 지식 생성 모형을 기반으로 한 초등학생용 거미 탐구 프로그램 개발)

  • Shin, Dong-Hoon;Kim, Suk-Ki;Kwon, Yong-Ju
    • Journal of Korean Elementary Science Education
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    • v.25 no.spc5
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    • pp.465-475
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    • 2007
  • The purpose of this study was to develop a spider inquiry program for elementary school students based on the scientific-knowledge generating model. For the purposes of this study, we selected three species of snider (e.g. Pardosa astrigera, Argiope bruennichii, Nephila clavata) which were easily found in a school garden by elementary school students. The spider inquiry program was based on a model of the process of scientific-knowledge generation, and consisted of two sections: for students and teachers. The students' program was designed to generate scientific-knowledge, whilst the teachers' program was designed to guide the inquiry smoothly even in the case of teachers who lack experience in inquiry activities or possess limited subject knowledge on spiders. As a result, this program was found to have an influence on generating the scientific-knowledge of elementary students and the results further suggest that it may be helpful to teachers conducting an inquiry activity. Additionally, this program could be used as a selective activity lesson such as a science inquiry lesson, or as a biology inquiry class, as a weekend life experience study or as an activity on a science camp.

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BETTER INPUTS FOR KNOWLEDGE MANAGEMENT INFORMATION SYSTEMS: KNOWLEDGE SHARING MODELING AND THE INCENTIVES SYSTEM DESIGN

  • S. Ping Ho;Yaowen Hsu;Szu-Wei Lo
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.564-568
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    • 2005
  • Recently, Knowledge Management (KM) has been applied to construction industry. Surprising, there is few studies that address the most fundamental problem in KM: people may prefer not to share their knowledge so as to preserve their intellectual or unique values in the organization. Without the premise of each individual's willingness to share knowledge, there will be no valuable input for the IT system and, thus, no knowledge management at all. This paper aims to model the behavioral dynamics of knowledge sharing and to design an incentive system that may facilitate knowledge sharing for construction companies. In this paper, a game-theory based model will be developed, and the framework for designing an incentive system will be proposed according to the model.

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A Computational Model to Detect Affective Response Based on Narrative Agent's Knowledge

  • Kwon, Hochang;Kwon, Hyuk Tae
    • International Journal of Contents
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    • v.16 no.3
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    • pp.51-65
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    • 2020
  • Narratives arouse diverse and rich affective responses to recipients, and this is one of the reasons why narratives are universal and popular. Computational studies on narratives have established a formal model or system of the affective response based on the theory in psychology or media research, and have analyzed or generated a narrative that can evoke a specific affective response. In this paper, we propose a new computational model that can detect the affective response expected to appear in the narrative based on the narrative agent's knowledge. First, we designed a narrative representation model that can elaborately express the event structure and the agent's knowledge as well. Additionally, an analysis method was proposed to detect the three affective responses and the related situational information. Then, we validated the model through a case study about an actual movie narrative. Through the case study, we confirmed that the model captures the affective responses of the audience. The proposed model can be effectively used for the narrative analysis and the creation that must consider the affective responses of the recipient.

The Development of Knowledge Management System Based on a Knowledge Life Cycle (지식 Life Cycle을 기반으로 한 지식관리 시스템 개발)

  • Han, Kwan-Hee;Song, Hee-Kyoung
    • IE interfaces
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    • v.13 no.1
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    • pp.54-59
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    • 2000
  • Presented in this paper is a development of knowledge management system based on knowledge life cycle. Knowledge processes in an organization have a life cycle from creation to disposal. So, KMSs have to support the entire life cycle of knowledge. This paper proposes desired knowledge life cycle model, and extracted functional requirements for KMS. For the fulfillment of this requirements, we developed KMS called XM-Brenic/MSX. This system has 6 components for supporting the knowledge life cycle.

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A Study on Knowledge Management Model of Library Based on Knowledge Ecology (지식생태학 관점에서 본 도서관의 지식관리 모형 연구)

  • Choi, Hee-Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.40 no.1
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    • pp.397-416
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    • 2006
  • This study is focusing on the establishment of knowledge management framework of library, supposed that library becomes an integrated knowledge system offering various types of knowledge. Knowledge management of library based on knowledge ecology justifies the logical and physical roles of library, as the sustainer of the knowledge ecosystem in which all the types of social factors consisting of knowledge ecosystem are Interacting to continuously circulate knowledge. The library as the center of knowledge ecosystem should make sure the systemized environment in which knowledge producer is supported to timely distribute knowledge to knowledge consumer through information professional accomplishing the role of knowledge facilitator.

LFMMI-based acoustic modeling by using external knowledge (External knowledge를 사용한 LFMMI 기반 음향 모델링)

  • Park, Hosung;Kang, Yoseb;Lim, Minkyu;Lee, Donghyun;Oh, Junseok;Kim, Ji-Hwan
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.5
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    • pp.607-613
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    • 2019
  • This paper proposes LF-MMI (Lattice Free Maximum Mutual Information)-based acoustic modeling using external knowledge for speech recognition. Note that an external knowledge refers to text data other than training data used in acoustic model. LF-MMI, objective function for optimization of training DNN (Deep Neural Network), has high performances in discriminative training. In LF-MMI, a phoneme probability as prior probability is used for predicting posterior probability of the DNN-based acoustic model. We propose using external knowledges for training the prior probability model to improve acoustic model based on DNN. It is measured to relative improvement 14 % as compared with the conventional LF-MMI-based model.

Knowledge Integration and CoP Performance: Based on Social Capital and Diversity in CoP (CoP 내 지식통합과 CoP 성과 연구: 사회적 자본과 CoP 구성 다양성을 기반으로)

  • Lee, Gunho;Min, Jinyoung;Heo, Dongcheol;Lee, Junyeong;Lee, Heeseok
    • Knowledge Management Research
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    • v.15 no.2
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    • pp.129-145
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    • 2014
  • As a community of practice (CoP) is known to facilitate team learning, it is increasingly important to understand the mechanisms of CoP, thereby enabling organizations to fully utilize it and optimize its benefits. To explain how CoP improves organizational performance, we focus on its effects on social capital and knowledge management activities, and propose a research model suggesting that shared goals and trust in CoP improve its performance through knowledge integration. Our analysis uses structural equation modeling, with field data collected from 372 members of 46 CoPs in three companies; the analysis validates our research model. Our findings also suggest that CoP diversity can strengthen the link between knowledge integration and CoP performance.

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The Effect of Individual and Team Characteristics on Knowledge Creation : An Analysis by Hierarchical Linear Model (HLM) (개인과 집단의 특성이 지식창출에 미치는 영향)

  • Kang, So-Ra;Kim, Min-Sun
    • Journal of Information Technology Applications and Management
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    • v.17 no.4
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    • pp.19-38
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    • 2010
  • This paper investigates the effect of stress on knowledge creation. The goal stress of resource inadequacy and job stress had negative influences on knowledge creation. However, the cohesion and mastery climate of team had positive influence on knowledge creation. Therefore this paper verifies the moderate role of the cohesion and mastery climate of team on the relationship between stress and knowledge creation. The model developed was tested using data collected from knowledge based industry with 375 members in 69 teams in 12 different firms. A Hierarchical Linear Model (HLM) was used to test the hypotheses generated from the model. Results show that job stress had a negative influence on knowledge creation as we expected but the goal stress didn't. The mastery climate of team affected knowledge creation positively and moderated the relationship between the goal stress and knowledge creation. Furthermore, the team cohesion had a positive influence on knowledge creation. The study provided some implications that practitioners should consider the stress when they design jobs for team members and suggest them the way to manage their job stress when they work.

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