• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.119-132
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• 2021

Identification of associated knowledge based on content relevance is a fundamental functionality in managing service and security of core knowledge. This study compares the performance of methods to identify associated knowledge based on content relevance, i.e., the associated document network composition performance of keyword-based and word-embedding approach, to examine which method exhibits superior performance in terms of quantitative and qualitative perspectives. As a result, the keyword-based approach showed superior performance in core document identification and semantic information representation, while the word embedding approach showed superior performance in F1-Score and Accuracy, association intensity representation, and large-volume document processing. This study can be utilized for more realistic associated knowledge service management, reflecting the needs of companies and users.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.27-38
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• 2023

In this paper, we propose a conversational AI agent based on continual learning that can continuously learn and grow with new data over time. A continual learning-based conversational AI agent consists of three main components: Task manager, User attribute extraction, and Auto-growing knowledge graph. When a task manager finds new data during a conversation with a user, it creates a new task with previously learned knowledge. The user attribute extraction model extracts the user's characteristics from the new task, and the auto-growing knowledge graph continuously learns the new external knowledge. Unlike the existing conversational AI agents that learned based on a limited dataset, our proposed method enables conversations based on continuous user attribute learning and knowledge learning. A conversational AI agent with continual learning technology can respond personally as conversations with users accumulate. And it can respond to new knowledge continuously. This paper validate the possibility of our proposed method through experiments on performance changes in dialogue generation models over time.

• Korean Architects
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• s.621
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• pp.11-11
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• 2021

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.407-412
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• 1989

Using the knowledge base which contains the patterns and data of the past experience of a plant, a learning control method is suggested. The knowledge for controlling a plant is stored to the knowledge base and continually modified after performance evaluation of an applied control input. The performance of the resultant knowledge based control system is examined by an application to process.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.3
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• pp.318-340
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• 2006

In the last decade, there has been a widespread interest in knowledge production activities as a new engine of endogeneous growth. In the knowledge-based economy, there has been a growing importance of the patent as the index of knowledge production. Much literature suggests that knowledge production activities tend to be spatially concentrated and formed the clusters in the advanced economies. The purpose of this paper is to analyze spatial-temporal patterns of knowledge production activities in Korea based on a data set of patents from 1981-2000. This paper uses spatial statistical methods and GIS to explore the spatial dimensions of knowledge production activities in Korea. Through this research, it was found that knowledge production activities were unevenly distributed. The knowledge production activity measured by patent counts is highly concentrated in a limited number of cities. The top 10 cities accounted for 68.5% of the total number of patents in the period of 1981-2000, suggesting the existence of a strong concentration of knowledge production activities in Korea. The locations of knowledge production activities by themselves represented a strong spatial autocorrelation. The concentration of knowledge production activities in Korea is spatially correlated to the concentration of adjacent neighboring cities. The location of knowledge production activities is not free from a spatial context and spillover of knowledge production activities are heavily bounded within geographic limits, forming a spatial cluster. There appear some quite a large spatial cluster around the seoul metropolitan area.

• Knowledge Management Research
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• v.11 no.2
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• pp.1-16
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• 2010

Despite the well accepted necessity and importance of knowledge management, cases of successful knowledge management are not easy to find. With a case study of a Korean organization, this research introduces an integrated knowledge management model, in which knowledge and work processes are combined to improved knowledge performance. Knowledge-work process integration facilitates knowledge asset creation, transfer, and utilization, through which inefficiencies in knowledge utilization may be removed and knowledge contribution to business performance may be enhanced. Knowledge-work process integration may further be aligned with innovation processes, enabling systematic and continuous knowledge based process innovation.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.264-269
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• 2008

Considering our increasingly interconnected organizations heavily relying on business processes and the growing need for timely accurate knowledge to achieve greater agility in the enterprise, the idea of looking at business processes as a knowledge object is gaining momentum. Business process information is knowledge and should consequently be managed as a valuable organizational asset, particularly because organizations need to react in near real time to environmental changes and events. This paper provides an overview of the situation in this field arguing for a better definition of the intersections between knowledge and business process management. When business process is seen as knowledge, it should be managed as such. We assess and discuss some of the resulting benefits and considering the need for greater dynamic integration between the two domains, we look at ontologies as an interesting technical approach to bridging this gap showing an example for an ontology based sales order process.

• Korean Journal of Computational Design and Engineering
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• v.5 no.1
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• pp.1-11
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• 2000

The purpose of Computer Aided Design is to design good products as quickly as possible. To do this, it is important to reuse the old designs and build on them. Most engineering designers, therefore. hale studied methods for reusing old designs, and the results of their study hale been applied to new designs Unfortunately, this only involves reuse of geometric data without design knowledge. If they can design products with the geometric data, including design knowledge, of the old designed and share them through the Internet, design efficiency will be improved. In other words, one way to improve designer's productivity is to share design information that includes knowledge and scattered data across design offices. This paper introduces a shared design environment with distributed knowledge-base. A product design environment based on distributed knowledge-base is proposed, which integrates the CORBA, OLE and WWW as the network architecture, a 3D CAD system, and an expert system shell. A design example of the lens barrel of a projection television is implemented to verify the idea.

• 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.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.1
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• pp.17-40
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• 1994

The objectives of this paper are to apply fuzzy cognitive map (FCM)- related techniques to (1) extract causal knowledge from a specific problem-domain and (2) perform a series of causal analysis in complicated decision making area. We propose a set operation-based augmentation (SOBA) algorithm to combine multiple FCMs developed by multiple experts. Based on the SOBA knowledge acquisition algorithm, we can obtain a causal knowledge base fairly representing multiple experts' knowledge about a problem domain. The causal knowledge base built by SOBA algorithm can be described as a matrix form, guaranteeing mathematically compact operation compared with a production (if-then) knowledge base. We applied out method to stock market analysis problem whichis a typical of highly unstructured problems in OR/MS fields.