• Journal of Information Technology Services
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• v.13 no.1
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• pp.71-86
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• 2014

This study investigated knowledge browsing behavior as the factor affecting the increase of knowledge sharing intention. To conduct this study in the specific context of knowledge seeking and sharing behavior of virtual community members, literature on knowledge seeking behavior, meta-knowledge, and knowledge sharing intention was reviewed. Structural Equation Modeling was conducted to analyze survey data to test the research model of this study. The result showed that knowledge browsing have positive effects on creating of virtual community members' subject knowledge and meta-knowledge, which, in turn, affected positively their knowledge sharing intention. One of the main contributions of this study is that knowledge seeking behavior influence one's knowledge sharing intention in a virtual community. Organization managers should consider knowledge seeking behavior as not only a self-interested, consuming activity, but also a productive one through its function of constructing subject knowledge and meta-knowledge.

• IE interfaces
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• v.13 no.1
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• pp.10-16
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• 2000

The main purpose of this paper is to explore the role of meta-knowledge for knowledge creation and knowledge transformation in cooperative problem solving processes. For this I will discuss what the primary functions of meta-knowledge are from the knowledge representation perspective. The proposed theoretical model is useful to develop a new form of knowledge management support systems beyond the first generation of knowledge-based systems.

• 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.

• Knowledge Management Research
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• v.10 no.2
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• pp.65-84
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• 2009

The purpose of this study is to develop Meta Evaluation Indicators for Defense R&D Programs in Korea. At first, the four components of this meta evaluation model were designed, which are evaluation context, evaluation input, evaluation process and evaluation outcome. And fifty two indicators for this meta evaluation were developed by experts who performed evaluations for Defense R&D Programs. The reliability of components and items was verified by Cronbach's ${\alpha}$ coefficient. It was over 0.6 in all areas. The validity of components and items was verified by Factor Analysis. Analytic Hierarchy Process method was used in assigning the evaluation weight. The survey of twenty two evaluators participated in Defense R&D Programs showed that the Consistency Ratio was under 0.1 in evaluation components and items. In this study, an objective and reasonable set of Defense R&D Meta Evaluation Indicators was developed to increase the responsibility of Defense R&D Programs and improve the quality of evaluation results.

• Journal of information and communication convergence engineering
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• v.9 no.3
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• pp.287-294
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• 2011

This paper proposes a search system using the topic maps that it extends XMDR into Knowledge based XMDR for solving of the problems of the heterogeneity of distributed data on a network and integrate data by an efficient way. The proposed system combined Topic Maps and the extended metadata registry effectively. The Topic Maps represent related knowledge and reasoning relationship by associations of topic. And the extended metadata registry standards and manages the metadata of the local systems through registration and certification on the distributed environment. We also proposed a meta layer, include the meta topic and meta association to achieve semantic classification grouping of topics and to define relationship between Topic Maps and extended metadata registry.

• Asia pacific journal of information systems
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• v.7 no.2
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• pp.163-183
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• 1997

As object models and hybrid knowledge are increasingly used in current information systems development, Is-a structures need to be more formally defined, and subsequently subsumption related anomalies need to be detected with minimal declaration of meta knowledge. This paper extends a metagraph in the hybrid environments and demonstrates its utilities for detecting such anomalies that can occur from semantics and dynamics unique to the hybrid knowledge and data structure.

• Korean Journal of Health Education and Promotion
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• v.3 no.1
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• pp.129-142
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• 2001

Meta-analysis methods are becoming a central part of research integration in behavioral and medical science studies. The main goal of the meta-analysis is combining the quantitative findings from several studies which address the same research problem and is sharing conclusions in a published report. The purpose of this research is to develop meta-analysis approach to evaluate effectiveness of instructional program design to improve school-age children's knowledge and understanding of Acquired Immune Deficiency Syndrome (AIDS). To achieve this purpose, meta-analysis is applied to analyze and synthesize findings for AIDS instructional programs from several prior studies.

• Journal of Nutrition and Health
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• v.54 no.5
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• pp.515-533
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• 2021

Purpose: A systematic review and meta-analysis of nutrition educational intervention studies was performed to assess the association between nutrition education intervention and fruit & vegetable (F&V) preferences and nutrition knowledge in preschool children. Methods: The relevant studies of nutrition education intervention and F&V preferences and nutrition knowledge published from January 2000 to June 2020 were located using PubMed, Web of Science, Cochrane Library, Research Information Sharing Service, Korean Studies Information Service System databases, and lists of references. A random-effects meta-analysis was conducted to estimate the standardized mean difference with a 95% confidence interval (CI). Subgroup analyses were performed to identify the association between nutrition education and F&V preferences and nutrition knowledge. Results: The results show that the effect sizes (ES) of F&V preferences and nutrition knowledge of preschool children were 0.31(95% CI, 0.23, 0.39), and 1.69(95% CI, 1.27, 2.12), respectively. The result of subgroup analysis, nutrition education focused on F&V (F&V preferences, ES: 0.32; nutrition knowledge, ES: 2.09) presented a slightly larger effect than general nutrition education (F&V preferences, ES: 0.26; nutrition knowledge, ES: 1.62). As for the type of exposure to F&V, direct exposure education (F&V preferences, ES: 0.40) had a greater effect than indirect exposure (F&V preferences, ES: 0.26). This meta-analysis showed that nutrition education intervention had positive effects on the F&V preferences and nutrition knowledge in preschool children. Conclusion: In conclusion, from the meta-analysis and subsequent subgroup analysis, we found that varied types of nutrition education intervention had varying effects on F&V preferences and nutrition knowledge in preschool children.

• Korean Journal of Computational Design and Engineering
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• v.11 no.4
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• pp.273-288
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• 2006

Information integration of heterogeneous digital parts libraries or electronic pars catalogs is one of issues in B2B procurements. We need to provide an integrated view for multiple information sources. Utilization of ontologies as the metadata descriptions of the information sources can provide an integrated view. However, in order to integrate independently developed ontologies, the mismatches among them should be resolved. In this paper, we propose an ontology of meta-concepts, i.e. meta-ontology. The meta-concepts play the role of vocabulary to describe the parts library ontologies and provide well-established ontological semantics that helps the ontology modelers to consistently identify parts library concepts and systematically structure them. Consequently, the meta-ontology reduces the differences in the way the parts knowledge is interpreted and ensures the mismatches are confined to manageable mis matches, so that a software program can merge automatically. Modeling ontologies of mold and die parts libraries for B2B e-commerce is taken as an example to show how to use the meta-ontology. We also discuss how a parts library mediation system can automatically merge the well-structured parts library ontologies.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.161-171
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• 1999

Query language has been widely used as a convenient tool to obtain information from a database. However, users demand more intelligent query processing systems that can understand the intent of an imprecise query and provide additional useful information as well as exact answers. This paper introduces a meta-database and presents a query processing mechanism that supports a variety of intelligent queries in a consistent and integrated way. The meta-database extracts data abstraction knowledge from an underlying database on the basis of a multilevel knowledge representation framework KAH. In cooperation with the underlying database, the meta-database supports four types of intelligent queries that provide approximately or conceptually equal answers as well as exact ones.