• Title/Summary/Keyword: knowledge building

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Knowledge Acquisition and Application for Scheduling Expert System of Highrise Buildings (HRB Expert 구축을 위한 지식의 획득과 활용)

  • Hong Young-Tak;Yu Jung-Ho;Lim Gyeong-Ho;Lee Hyun-Soo
    • Korean Journal of Construction Engineering and Management
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    • v.6 no.2 s.24
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    • pp.92-101
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    • 2005
  • The duration of highrise building projects is more shorter than its increasing of the numbers of floors. The project is liable to overrun of the time in which the project must be complete. AS highrise buildings are increased, time management has been reorganized as critical success factor. To improve time management, time management softwares are introduced and the software's education is made lively in construction company. However a large amount of time management works still have been based on not the software but scheduler's experience. We often can find the time overrun risk of highrise building because of the shortage of scheduler's experience. To diminish the mistake of the scheduler who does not have much experience, we suggested HRB Expert which uses expert's knowledge to make the time plan of highrise building. We made an example of knowledge acquiring and knowledge usage which cased on reinforced concrete work of highrise building by literature review and interview with scheduling expert. The precision of time plan will be enhanced and time overrun will be prevented on condition that HRB Expert is constructed and used

A Quest of Design Principles of Cognitive Artifacts through Case Analysis in e-Learning: A Learner-Centered Perspective

  • PARK, Seong Ik;LIM, Wan Chul
    • Educational Technology International
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    • v.10 no.1
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    • pp.1-23
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    • 2009
  • Learners are often posited in a paradoxical situation where they are not fully involved in decision making processes on how to learn, in designing their tools. Cognitive artifacts in e-learning are supposed to effectively support learner-centered e-learning. The purpose of the study is to analyze cases of cognitive artifacts and to inquire those design principles for facilitating the learner-centered e-learning. Four research questions are suggested: First, it will be analyzed the characteristics of learners with respect to design of cognitive artifacts for supporting the learner-centered e-learning. Second, characteristics of four cases to design cognitive artifacts in learner-centered e-learning environment are analyzed. Third, it will be suggested the appropriate design principles of cognitive artifacts to facilitating learner-centered learning in e-learning environment. Four cases of cognitive artifacts design in learner-centered e-learning was identified as follows: Wiki software as cognitive artifacts in computer-supported collaborative learning; 'Play Around Network (PAN)' as cognitive artifact to monitor learning activities in knowledge community; Knowledge Forum System (KFS) as a cognitive artifact in knowledge building; cognitive artifacts in Courses-as-seeds applied meta-design. Five design principles are concluded as follows: Promoting externalization of cognitive artifacts to private media; Helping learners to initiate their learning processes; Encouraging learners to make connections with other learners' knowledge building and their cognitive artifacts; Promoting monitoring of participants' contributions in collaborative knowledge building; Supporting learners to design their cognitive artifacts.

Building Innovation System of Daeduck Valley Based on Knowledge Production Network (대덕밸리의 지식생산 네트워크 기반의 혁신체제구축)

  • 이승철
    • Journal of the Korean Geographical Society
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    • v.38 no.2
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    • pp.237-256
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    • 2003
  • The main aim of this paper is to provide a plan for building an effective and competitive innovation system of Daeduck Valley in Korea through analysing the process of knowledge production and commercialisation of venture firms in the perspective of industry-(university) research networks. Since 1997, with the willingness of the government aimed at building' second Sillicon Valley', an ostensible innovation system cantered around the existing science technology town has been able to be built in Daeduck Valley. Nonetheless, some fundamental problems with the knowledge production and commercialisation of venture firms were appeared as the results of this study. It is led tv not only the lack of network agents and institutes that are able to facilitate and coordinate the networks of economic actors comprised of the innovation system, but also the impertinent roles of economic actors. In particular, these problems were differentiated in accordance with the growth stage of venture firms and the processes of knowledge production. Therefore, several policy implications for building innovation system are suggested in the perspective of the complement of existing innovation system of Daeduck, rather than constructing a new innovation system. At the same time, they are provided in accordance with different growth stages and knowledge production processes.

An Implementation of Knowledge-based BIM System for Representing Design Knowledge on Massing Calculation in Architectural Pre-Design Phase (건축기획 매스 규모산정의 설계지식 재현을 위한 지식기반 BIM 시스템 구현)

  • Lee, Byung-Soo;Ji, Seung-Yeul;Jun, Han-Jong
    • Korean Journal of Computational Design and Engineering
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    • v.21 no.3
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    • pp.252-266
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    • 2016
  • An architectural pre-design, which is conducted prior to the architecture design, supports fundamental configuration during the entire AEC project by predicting the cost, demand, etc., of the building, and is therefore gaining importance. In particular, the massing calculation of the pre-design phase should be prioritized, as it is fundamental to architectural outline. However, most architects depend on only their experience and intuition while conceptualizing an integrated framework of design conditions, including the building code and requirements for the massing calculation of the object. Therefore, many difficulties arise in terms of performing appropriate tasks. Thus, the purpose of this study is to implement a knowledge-based BIM for explicitly representing the design knowledge, which is the basis of decision making for an architect while performing the massing calculation. In particular, the 3D knowledge relevant to a project can be provided and accumulated in the massing calculation by the BIM system; this facilitates an integral understanding. Consequently, the approximate result of massing calculation in 3D BIM environment, through both the knowledge-based BIM template and plug-in, can be swiftly provided to the architect. In addition, the architect can invent various alternatives, estimate resulting costs, and reuse the accumulated knowledge in future BIM design processes.

APPLICATION OF KNOWLEDGE MANAGEMENT IN BUILDING AUTOMATION SYSTEM: A CASE STUDY OF SIX BUILDINGS IN KUALA LUMPUR

  • Nurul Afida Isnaini Janipha;Hamimah Adnan;Fadzil Hassan
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.672-683
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    • 2007
  • The rapid development of Kuala Lumpur has seen numerous new and high-rise buildings introducing Building Automation System (BAS). Whilst effective application of Knowledge Management (KM) within BAS is the pre-requisite for the achievement of optimum BAS performance, there has been little research undertaken to investigate if have been the case. This paper presents a research undertaken to get a view of how KM applies in BAS in six (6) selected case-study buildings in Kuala Lumpur, all operating with the 'one-system' M&E workstation control BAS. The emergent findings positively suggest that adequate KM approaches were employed within their BAS management processes, but further studies would be necessary to determine the extent of their application and effectiveness.

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A Study on the Influence of Knowledge Management Strategy and Knowledge Management Decision Factors by Knowledge Management Type on Knowledge Activities (지식경영 유형별 지식경영전략과 지식경영결정요인이 지식활동에 미치는 영향에 관한 연구)

  • Kim, Myung-Soo;Song, Sang-Ho
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.592-606
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    • 2021
  • This study examines the impact of knowledge management strategies and knowledge management determinants for each type of knowledge management of a company on knowledge activities, and because each company's situation and conditions are different, it is necessary to approach each knowledge management type. The analysis was conducted using the SPSS 18.0 program targeting 81 companies that have introduced knowledge management systems or knowledge management by categorizing them into technology-oriented and combined types. The result is that Initial types are based on changes in organizational structure and active adoption of information technology, and the Organizational knowledge centers use management systems (CEO support, performance compensation system, education and training system) and infrastructure building and information technology to maximize individual knowledge. The Information technology-oriented types rely more on information technology such as infrastructure building and information technology use rather than organizational knowledge. and the Combination type is understood as an educational and training system and decentralized organizational structure for the overall expansion of the organization. Through this study, effective and significant strategies, knowledge management determinants, and knowledge activities for each type were presented.

Implementation a Philosophy Ontology based on Knowledge of Text Contents (텍스트 내용 지식 기반의 철학 온톨로지 구축)

  • Kim Jung-Min;Choi Byoung-Il;Kim Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.11 no.3
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    • pp.275-283
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    • 2005
  • Ontologies are the core components of the Semantic Web and knowledge-based systems. But it is difficult to find useful ontologies in actual domains. In order to build useful domain ontology, the conceptualization of the domain knowledge by knowledge experts of the specific domain and the specification of conceptualized knowledge with formal languages by ontology designers are required. In addition, structured and detailed guidelines and methods should be provided to be shared by the development team members. However, existing ontology building methodologies define and describe the skeletal structure of the whole building process at the top-layer. We build a useful academic ontology that is based on the conceptual knowledge structure in the domain of philosophy, and propose a detailed methodology to build a text ontology based on Topic Maps. Our methodology consists of two phases, ontology modelling and ontology implementation. We implement a philosophy knowledge portal to support retrieving and navigating of the philosophy knowledge.

Knowledge Evolution in Construction Automation Research

  • Mun, Seong-Hwan;Kim, Taehoon;Lee, Ung-Kyun;Cho, Kyuman;Lim, Hyunsu
    • Journal of the Korea Institute of Building Construction
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    • v.20 no.6
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    • pp.577-584
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    • 2020
  • Construction automation and robotics have been widely adopted in the construction industry as a promising solution to such issues like a shortage of skilled labor and the difficulties workers face in harsh working environments. The analysis of the knowledge structure and its evolution from the existing articles helps identify essential knowledge elements and possible future research directions. This study attempts to (1) construct keyword networks from the papers published in the International Symposium on Automation and Robotics in Construction (ISARC), (2) investigate how keywords and keyword communities are associated with each other, and (3) examine the changes in the crucial keywords over time. Through cluster analysis, 79 keywords were categorized into four groups (BIM, Building construction, Sensing, and GPS as representative keywords) with similar structural positions. Research trends show that research themes related to Infrastructure, Construction equipment, and 3D have consistently received a large amount of attention, regardless of geographical region. Research on as-built status model utilization through BIM and Laser scanning and improving Energy performance is taking place more frequently. In contrast, research studies related to problem-solving based on Neural networks are not as common as previously. This study provides useful insights into the construction automation field, at both the macro and micro levels.

Reducing Earthquake Fatalities and Destructions in Iran: A Project Management Perception

  • Tabassi, Amin Akhavan;Bakar, Abu Hassan Abu;Yusof, Nor'Aini
    • Asian Journal of Business Environment
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    • v.4 no.1
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    • pp.25-35
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    • 2014
  • Purpose - Appropriate project management knowledge as well as its effective application in the construction industry increase construction quality and, therefore, reduce fatalities and destruction. Research design, data, and methodology - This study was conducted through a comparative analysis of earthquake fatalities in Iran, Turkey, Pakistan, Indonesia, China, Haiti, Japan, and the United States of America. The data was analyzed using a frequency study. The analysis contrasts the fatalities of some of the strongest earthquakes around the world between 1960 and 2010. Results - Poor quality construction practices and a lack of effective application of project management knowledge play a major role in the vast destruction, high death toll, and dismal tragedies that are associated with earthquakes, especially in Iran. Conclusions - Despite the history of tragic earthquakes and their continuing recurrence, this study attempts to make governments, companies, and disaster management personnel aware of the dangers of poor quality construction and the deficient application of project management knowledge and, further, accentuates effective ways to prevent the probability of serious damage in future. This study contains valuable information on the effects of project management application towards reducing earthquake fatalities and destruction.

Meta Knowledge for Effective Model Management in Web-based System (웹 기반 시스템에서 효과적 모델관리를 위한 메타지식)

  • 김철수
    • Journal of Intelligence and Information Systems
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    • v.6 no.1
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    • pp.35-50
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    • 2000
  • Diverse requirements of users on web-based model management force a system agent to develop user-adaptive building a model in reality and providing an adequate solution method of the model. The relationship between models is important knowledge for the agent to effectively build a new model to adaptively adjust an existing model under a problem and to efficiently connect the new model into an adequate solution method. Since the generating process of the inter-model relationship is more difficult than the building a new model however the process mostly depends on the knowledge of operation research experts. Without the adequate scheme of the inter-model relationship the burden of the management for the agent increases rapidly and the quality of the services may worsen. This study shows that meta-knowledge generated from relationship between models is important for the user to build a model in reality and to acquire the solver appropriate to the model. The relationship that consists of common and exclusive objects between models can be represented by frames. The system under development to implement the idea includes user-adaptive ability which identifies a model through forward chaining method and searches the solver appropriate to the model by using the meta knowledge. We illustrate the meta knowledge with an applied delivery system in supply chain management.

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