• The Journal of Information Systems
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• v.3
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• pp.71-82
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• 1994

Knowledge acquisition, maintenance of knowledge base, and validation and verification of knowledge are the addressed bottlenecks of building successful knowledge based systems. Along with the increment of interesting in the knowledge based systems, the organization needs to develop a new one although it has a similar one. This causes several serious problems including knowledge redundancy and maintenance of knowledge base. This paper present three models of the reusable knowledge base which might be the solution to the above problem. Three models are : 1) multiple knowledge bases for a single AI application, 2) multiple knowledge bases for multiple AI applications, 3) a single knowledge base for multiple AI applications. A new approach to build such a reusable knowledge base in a homogeneous environment is presented. Our model combines the essential object-oriented techniques with rules in a consistent manner. Important aspects of applying object-oriented techniques to AI are discussed (inheritance, encapsulation, message passing), and some potential problems in building an AI application (decomposition technique of knowledge, search time, and heterogeneous environment) are pointed out. The models of a reusable knowledge base provide several amenities : 1) reduce the knowledge redundancy, 2) reduce the effort of maintenance of the knowledge base, 3) reuse the resource of the multiple domain knowledge bases, 4) reduce the development time.

• Korean Management Science Review
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• v.12 no.1
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• pp.19-34
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• 1995

The objective of this paper is to present a framework for an expert system for fault diagnosis in an FMS (Flexible Manufacturing Systyem). First, a system is analyzed structurally and functionally, giving the relationships between the system's components. These relationships, represented by strata, are are then stored in a deep knowledge base (DKB). Next, the specific knowledge, represented by echelons, about the symptoms and their probable causes for each component is stored in a shallow knowledge base (SKB) in the form of rule. When the fault diagnosis process begins, it starts to search the DKB and then the SKB, which is called hybrid reasoning in artificial intelligence.

• Journal of Global Scholars of Marketing Science
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• v.15 no.3
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• pp.93-116
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• 2005

This study explored factors affecting consumer's external information search effort on online shopping malls through three approaches(cost-benefit approach, psychological motivation approach, and web-site theory approach) respectively, and designed the integrative model through searching the relationships among them. In this study search motivation are designed to be explained by search benefit and search cost that are explained by factors related to the web site and search efforts are designed to be explained by search benefit, search cost and search motivation. The results from our empirical research showed that search motivation, search benefits and prior knowledge on online shopping malls have a direct effect on consumer external information search effort. On the other hand, it was verified that the search motivation was affected by search benefits and purchase involvement, and the search benefits are directly influenced by purchase involvement, constructive simplicity, search convenience and trust. In addition, purchase involvement, time press, constructive simplicity and search convenience had direct effects on the search cost.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.2
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• pp.289-324
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• 2021

This study reports on early adolescents' health information seeking behaviors that investigated cognitive, affective, and physical aspects of behaviors as they experienced to find information on their needs of health information seeking. In spite of the current widespread internet health information use by adolescents, little research exists to illuminate how they are engaged in cognitive, affective, and physical information behaviors in information search process. Qualitative data were collected through individual interviews informed by Kuhlthau's information search process. Forty adolescents from S city in South Korea participated in the project. Findings report thoughts, feelings, and actions aspects of information search process. This study expects to extend our knowledge of the adolescents' health information seeking behaviors of Kuhlthau's information search process.

• Knowledge Management Research
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• v.9 no.4
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• pp.17-33
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• 2008

This study proposes University 2.0 as a model case of open, flexible, and distributed learning environment for higher education based on theoretical foundations and perspectives. As web 2.0 technologies emerge into the field of education, ways of generating and disseminating information and knowledge have been drastically changed. Professors are no longer the only source of knowledge. Students using internet often become prosumers of knowledge who search and access information through the web as well as publish their own knowledge using the web. A concept and framework of University 2.0 is introduced for implementing the new interactive learning paradigm with an open, flexible and distributed learning environment for higher education. University 2.0 incorporates online and offline learning environments with various educational media. Furthermore, it employs various learning strategies and integrates formal and informal learning through learning communities. Both instructors and students in University 2.0 environment are expected to be active knowledge generators as well as creative designers of their own learning and teaching.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.153-156
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• 2005

In this paper, a framework for implementing UFIS (Unified Fuzzy rule-based knowledge Inference System) is presented. First, fuzzy clustering and fuzzy rules deal with the presence of the knowledge in DB (DataBase) and its value is presented with a value between 0 and 1. Second, RDB (Relational DB) and SQL queries provide more flexible functionality fur knowledge management than the conventional non-fuzzy knowledge management systems. Therefore, the obtained fuzzy rules offer the user additional information to be added to the query with the purpose of guiding the search and improving the retrieval in knowledge base and/ or rule base. The framework can be used as DM (Data Mining) and ES (Expert Systems) development and easily integrated with conventional KMS (Knowledge Management Systems) and ES.

• Korea Journal of Hospital Management
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• v.19 no.1
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• pp.43-53
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• 2014

The objective of this research is to survey of knowledge management in hospitals and to search the factors to impact the knowledge sharing and innovation behavior among employees. The data is collected with hospital employees by questionnaire method. Total number of analysis is 779 cases, and the collected data is analyzed by SEM(structural equation model). The work performance(WP) make influence the innovation behavior(IB) through knowledge sharing(KS) intention. The KS intention and IB are different in sex, age, education, work duration and work level. But, WP is different only in sex. The only personnel and organizational factors to affect KS intention, WP and IB are reciprocity(in personnel factor) and trust(in organization factor). Those factors mean the mental or psychological relationship among employees. So, to make more developed knowledge management in hospitals is to need more personal relationship than any other system management or incentives.

• Journal of the Korean Society for Library and Information Science
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• v.36 no.3
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• pp.69-91
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• 2002

This study examines overall user experience associated with Web search engine use including selection, usage of search features, evaluation. The data were collected through individual interviews with 28 faculty members and graduate students. It was found that users tend to select a search engine based on experience and knowledge of certain features and familiarity with an engine itself more than based on previous experience with search results. The results showed the users had mixed opinions regarding cross language retrieval while they did not believe the usage of operators effect the search results. It appears that users are interested in interface design as well as the accuracy of search results.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.2840-2861
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• 2020

The purpose of this survey-based study is to make an analysis of search engine users' behaviors on the Search Engine Results Pages (SERPs) based on the three demographic characteristics gender, age, and program studying. In this study, a questionnaire was designed with 12 closed-ended questions. Remaining questions other than the demographic characteristic related ones were about "tab", "advertisement", "spelling suggestion", "related query suggestion", "instant search suggestion", "video result", "image result", "pagination" and the amount of clicking results. The questionnaire was used and the data collected were analyzed with the descriptive statistics as well as the inferential statistics. 84.2% of the study population was reached. Some of the major results are as follows: Most of each demographic characteristic category (i.e. female, male, under-20, 20-24, above-24, English computer engineering, Turkish computer engineering, software engineering) have rarely or more click for tab, spelling suggestion, related query suggestion, instant search suggestion, video result, image result, and pagination. More than 50.0% of female category click advertisement rarely; however, for the others, 50.0% or more never click advertisement. For every demographic characteristic category, between 78.0% and 85.4% click 10 or fewer results. This study would be the first attempt with its complete content and design. Search engine providers and researchers would gain knowledge to user behaviors about the usage of the SERPs based on the demographic characteristics.

• Journal of the Korean Society for information Management
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• v.24 no.1 s.63
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• pp.55-74
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• 2007

The purposes of this study are to examine the influences of appraisal and reward on the activities of knowledge management and to search the strategies for effective appraisal and reward system to activate the knowledge management. The results of covariance structural analyses indicate that appraisal has a significant direct effect on reward and knowledge creation as well as a significant indirect effect on knowledge sharing via reward and knowledge creation. Reward has a significant direct influence on knowledge sharing. Knowledge creation also significantly affects knowledge sharing. Based on the results, the potential implications of effective appraisal and reward system to activate the knowledge management are discussed.