• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.18.1-18
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• 2001

• Knowledge Management Research
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• v.18 no.3
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• pp.231-246
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• 2017

As an interest in the efficiency of public sector expenditures has spread across the world, Korea has operated a self-evaluation system for government projects as a part of the performance-based budget system. However, an evaluation system for public information technology project has been criticized for its lack of validity, which stems from the uniformity of performance management. This study draws insight from knowledge management literature in an attempt to address the problems with the extant performance evaluation system in public agencies. To realize benefits from IT investment, an agency needs to develop its own performance management model for information systems projects, with a focus on the interaction of IT and organizational system. The knowledge management-based framework for IT projects was verified through a case study, with which we discussed the applicability of knowledge management to the evaluation of public information systems projects.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.37-38
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• 2015

A number of documents containing important and useful knowledge have been generated over time in the construction industry. Such text-based knowledge plays an important role in the construction industry for decision-making and business strategy development by being used as best practice for upcoming projects, delivering lessons learned for better risk management and project control. Thus, practical and usable knowledge creation from construction documents is necessary to improve business efficiency. This study proposes a knowledge creating system from construction documents using text mining and the design comprises three main steps - text mining preprocessing, weight calculation of each term, and visualization. A system prototype was developed as a pilot study of the system design. This study is significant because it validates a knowledge creating system design based on text mining and visualization functionality through the developed system prototype. Automated visualization was found to significantly reduce unnecessary time consumption and energy for processing existing data and reading a range of documents to get to their core, and helped the system to provide an insight into the construction industry.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.2903-2923
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• 2023

Knowledge recommendation is a type of recommendation system that recommends knowledge content to users in order to satisfy their needs. Although using graph neural networks to extract data features is an effective method for solving the recommendation problem, there is information loss when modeling real-world problems because an edge in a graph structure can only be associated with two nodes. Because one super-edge in the hypergraph structure can be connected with several nodes and the effectiveness of knowledge graph for knowledge expression, a dual-channel hypergraph convolutional neural network model (DCHC) based on hypergraph structure and knowledge graph is proposed. The model divides user data and knowledge data into user subhypergraph and knowledge subhypergraph, respectively, and extracts user data features by dual-channel hypergraph convolution and knowledge data features by combining with knowledge graph technology, and finally generates recommendation results based on the obtained user embedding and knowledge embedding. The performance of DCHC model is higher than the comparative model under AUC and F1 evaluation indicators, comparative experiments with the baseline also demonstrate the validity of DCHC model.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.511-515
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• 2001

Many intelligent agent systems are known to incorporate BDI architecture for cognitive reasoning. Since this architecture contains all the knowledge of world model and reasoning rule, it is very complex and difficult to handle. This paper describes a methodology to design and implement BDI architecture, BDIAXml based on XML for multi-agent systems. This XML-based BDI architecture is smaller than any other BDI architecture because it separates knowledge for reasoning from domain knowledge and enables knowledge sharing using XML technology. Knowledge for BDI mental state and reasoning is composed of specific XML files and these XML files are stored into a specific knowledge server. Most systems using BDIAxml architecture can access knowledge from this server. We apply this BDIAXml system to domain of Hospital Information System and show that this architecture performs more efficiently than other BDI architecture system in terms of knowledge sharing, system size, and ease of use.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.10a
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• pp.142-148
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• 1993

Recectly, development of expert system utilizing the domain specific knowledge focuses upon the machining operations. This paper describes an expert system for selecting the optimum grinding wheel based on the Analytic Hierarchy Process and Fuzzy Logic. Knowledge-base, in this system, for selecting of grinding wheel is designed to appling the knowhow and experience knowledge of skilled hands. In this paper, firstly determination method of fuzzy membership function utilizing the qualitative knowledge, and then selection of the optimum wheel from among the available components according to Saaty's priority rule are described. Lastly,some implementation results are suggested.

• Korean Journal of Computational Design and Engineering
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• v.16 no.3
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• pp.167-177
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• 2011

This paper describes an ontology-based intelligent CAD system for injection mold design, which has been developed based on a commercial CAD system called Unigraphics and an ontological framework for representing the implicit design knowledge as well as the explicit based on the extended function-behavior-structure (FBS) engineering design model that includes the constraint. The system also provides various convenient solid modeling capabilities for mold design and the design process modeling capability that facilitates mold redesign process.

• Journal of the Korean Society for information Management
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• v.21 no.2
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• pp.153-167
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• 2004

The purpose of this study is to discuss ′records′ as core resources for knowledge management and to suggests the directions for developing integrated knowledge management systems based records management. This present paper begins with analyzing concept and structure of records in light of knowledge management, and identify the importance of records management in developing knowledge management systems by substituting evidence axis in Upward′s "Records Continuum Model" for knowledge management. And this study tries to identify critical aspects regarding transfer of records to knowledge system by analyzing the level of records. Based on these analyses, it suggests a directions for developing records based-knowledge management systems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.4 no.2
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• pp.51-56
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• 2003

Traditional travel information systems provide us with comprehensive information and internet-based travel information systems (IBTIS) with useful information. However, they suffer from limited access to the system, and a lack of flexibility for user requirements. In order to overcome these problems, this research introduces a knowledge-based expert system approach. As a case study, a Knowledge-based Expert System for guiding a New Zealand tour (KEGUNZ) has been developed to suggest highly user-oriented travel plans efficiently in New Zealand. KEGUNZ has been implemented using EXSYS, an expert system shell.

• Architectural research
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• v.12 no.2
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• pp.85-92
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• 2010

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.