• Advances in Computational Design
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• v.3 no.4
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• pp.367-384
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• 2018

The consideration of constructability issues at the design stage can lead to improved construction performance with smooth project delivery and savings in time and money. Empirical studies demonstrate the value obtained by integrating construction knowledge with the building design process, and its benefits for owners, contractors and designers. However, it is still a challenge to implement the concept into current design practice. There is a need for a decision support tool to aid designers in reviewing their design constructability, deploying current technological tools, such as BIM. Such tools are beneficial at the conceptual design stage when there is a room to improve the design significantly with less incurred cost. This research investigates how current process- and object-oriented models can be used to assess design constructability. It proposes a BIM-based model using embedded information within the design environment to conduct the assessment. The modelling framework is demonstrated in four key parts; namely, the conceptual design model, the constructability assessment model, the assessment process model and the decision-making phase. Each is associated with a set of components and functions that contribute towards the targeted constructability assessment outcomes. The proposed framework is the first to combine a numerical assessment system and a rule-based system, allowing for both quantitative and qualitative approaches. The modelling framework and its implementation through a prototype are described in this paper. It is believed that this framework is the first to enable users to transfer their construction knowledge and experience directly into a design platform linked to BIM models. The assessment criteria can be customised by the users who can reflect their own constructability preferences into various specialised profiles that can be added to the constructability assessment model. It also allows for the integration of the assessment process with the design phase, facilitating the optimisation of constructability performance from the early design stage.

• Korean Management Science Review
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• v.12 no.3
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• pp.135-161
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• 1995

This paper is concerned with a conceptual design of a knowledge-based modeler for network analysis. The "knowledge-based modeler" approach is suggested as a method for incorporating the user's qualitative knowledge and subjective decison in the course of the mathematical modeling and the subsequent solution procedure. The submodules of the proposed modeler such as database, model/algorithm base and functional knowledge bases are identified and the flows of information between the submodules are sequentially defined. A prototype system is implemented for experimental purpose by using the application software GURU.ware GURU.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.4
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• pp.133-156
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• 1999

The purpose of this paper is to show how conceptual data modeling can enhance current information retrieval (IR) systems. The conceptual database design provides for: 1) data mining capability to discover new knowledge based on the relationships between entities, and 2) integrating current separate databases into one IR system (e.g., integrating ISI Citation, a thesaurus, and bibliographic databases into one retrieval system) . Further, as new user requirements are unfolded, modifications of IR systems based on conceptual data modeling will be much easier to make than they were in the current IR systems because conceptual modeling facilitates flexible modifications. The enhanced Entity-Relationship (ER) model was employed in this study to develop conceptual schemas of IR data.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.362-369
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• 2005

In this paper, a research for the knowledge based configuration design software development of a train vehicle has been presented. Parametric design and knowledge based design concepts have been introduced for rapid design changes and analyses using a commercial CAD software, $CATIA^{/circledR}$ Knowledgeware module. Positions and dimensions of door, small window, large window, and number of seats were used as design parameters. It is crucial for train vehicle design because it enables rapid conceptual design by instant configuration changes. The results of this research can be used as one sub module of the multidisciplinary train vehicle design software and provide a basic data for rolling stock behavior and driver cab ergonomics of a train vehicle.

• Knowledge Management Research
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• v.1 no.1
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• pp.47-64
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• 2000

As the Knowledge Economy grows bigger, studies and practices of knowledge management flourish in almost every organizations. Yet, the studies of fundamental relationships between knowledge and organization have not been sufficiently developed. It is partly because current knowledge management mainly focus on the technical aspects of the theme. This paper tries to find the possible organizing principles and theoretical foundations of knowledge-intensive organizations through the perspective of knowledge market and knowledge community. Based on the differentiation of "knowledge" and "knowing", the author draws several propositions about knowledge creation and knowledge use. Then, the author relates these propositions to the design and implementation of two theoretical models of organizations, i. e. knowledge market and knowledge community. Major claims are: 1) Knowledge use and knowledge creation process are conceptually separable, so that different conceptual models (market & community) need to be applied. 2) Since knowledge use and creation should be integrated, organizations in the Knowledge Economy should be the efficient knowledge market and, at the same time, knowledge community with care and cooperations. 3) The network of independent small KIFs(knowledge-intensive firms) could be considered as the possible organizational model of the future.

• Journal of Fashion Business
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• v.21 no.4
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• pp.90-104
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• 2017

In a rapidly changing fashion design world, creative ideas are always required. Knowledge has been created as an art, exhibiting a new imagination that surpasses reality, while being visualized from the past. The purpose of this study is to derive types of visualization of knowledge for continuous creation of fashion design. The study consists of literature and empirical studies. ATTA, a creativity evaluation method made by Torrance applied for analyzing of Gucci fashion design collections from 2016-2017. Creativity of the Gucci collection by ATTA evaluation items are that first, a vivid idea was revealed through collection history, myths and animal and plants, second, conceptual incongruity is in the composition of the garment, third, provocative questions are the symbolism of the meaning of the text, fourth, different perspectives derive a new formative beauty through the synthesis of twisted elements, fifth, abstraction is a symbolic expression of animals and plants, sixth, synthesis is a mixture of various materials and techniques by plural inspiration, seventh, context, it is developed as a design accompanied by stories of history and myth and eighth, fantasy is fictitious animals and animals and detail. In addition, formativeness of fashion design by visualization of this knowledge was extracted with contamination, symbolism, enjoyment and fabrication. Visualization of the knowledge is expected to be used as a strategy to attract ongoing ideas for creative fashion designs.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.1-24
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• 2010

Most of enterprises depend on a data modeler during developing their management information systems. In formulating business requirements for information systems, they widely and naturally use the interview method between a data modeler and a field worker. But, the discrepancy between both parties would certainly cause information loss and distortion that lead to let the systems not faithful to real business works. To improve or avoid modeler-dependant data modeling process, many automated data design CASE tools have been introduced. However, since most of traditional CASE tools just support drawing works for conceptual data design, a data modeler could not generate an ERD faithful to real business works and a user could not use them without any knowledge on database. Although some CASE tools supported conceptual data design, they still required too much preliminary database knowledge for a user. Against these traditional CASE tools, we proposed a Requirement-Oriented Entity Relationship Model for automated data design tool, called ROERM. Based on Non-Stop Methodology, ROERM adopts inner systematic modules for complete and sound ERD that is faithful to real field works, where modules are composed of interaction modules with a user, rules of schema operations and sentence translations. In addition to structure design of ROERM, we also devise detailed algorithms and perform an experiment for a case study.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1994.10a
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• pp.137-144
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• 1994

This study describes an application of a knowledge-based system for a part of the development of an integrated structural design system. In preliminary structural design procedure, most structural design operation are performed by structural engineer's manual method. These lack of systematic operation hampers the effective system integration. By introducing expert system to the structural planning stage, structural engineer can automate structural Planning process of an integrated structural design system for complex design. Engineering data management is receiving increasing attention due to complexity of information necessary for performing structural engineering operations. So, in this paper, we describe a methodology for automating conceptual structural design and developing a knowledge-based system integrated with database. At the end, we use an implemented example to support our methodology.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.39 no.3
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• pp.71-82
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• 2002

The software pattern is knowledge representation derived from the verified solutions or the experience of the experts. On account of the design varieties of software development, however, it is not the facilitated task to discover the best proper software pattern. This situation requires that software patterns be categorized in terms of their innate concepts. This paper proposes software pattern ontology(SPO) for the systematic categorization of software patterns by means of conceptual properties of patterns after the comparative analysis of association between software pattern and ontology. The SPO presented in this paper can establish the basis for the software pattern management system at the conceptual level. This paper also shows an idea for the application by unifying conceptual properties of software pattern and ontology. 

• Knowledge Management Research
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• v.1 no.1
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• pp.91-107
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• 2000

This paper proposes the Organizational Knowledge Discovery Process Model (OK-DPM) as an initiative for developing a knowledge management methodology. OK-DPM is a model designed to effectively discover knowledge useful to the organization. It explains the knowledge discovery process from the conceptual level to the application level. It decomposes the organizational knowledge discovery process into 3 sub-processes; Creation, Suggestion and Validation. For each sub-process, design components are identified and possible methods for supporting each one are suggested. Also, the relationship patterns between the knowledge discovery process and knowledge type are explored. By applying OK-DPM to two real cases where the knowledge management projects are ongoing, the model was validated and revised. Even though we need to investigate with more cases to refine the OK-DPM, we found that it could provide some insights in developing the effective knowledge discovery process.