• Korean Journal of Cognitive Science
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• v.10 no.4
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• pp.1-10
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• 1999

A Semantic Hierarchy of Korean Nouns(SHKN) where Korean nouns are semantically and hierarchically classified is one of the most important things that can provide semantic information concerned with processing the Korean sentences. In this paper. SHKN is constructed in bottom-up method by making use of the definition of a noun in the Korean dictionary. SHKN constructed in this paper is a forest which consist of 43 trees and 2.443 non-terminal nodes and 10.347 terminal nodes. depth of which is 17. The classes of level 1. 2 of SHKN is quite different from the existing structure classified in top-down method. 2 b but the lower classes than level 2 is very objective.

• Korean Journal of Cognitive Science
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• v.10 no.3
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• pp.1.1-10
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• 1999

A Semantic Hierarchy of Korean Nouns(SHKN) where Korean nouns are semantically and hierarchically classified is one of the most important things that can provide semantic information concerned with processing the Korean sentences. In this paper. SHKN is constructed in bottom-up method by making use of the definition of a noun in the Korean dictionary. SHKN constructed in this paper is a forest which consist of 43 trees and 2.443 non-terminal nodes and 10.347 terminal nodes. depth of which is 17. The classes of level 1. 2 of SHKN is quite different from the existing structure classified in top-down method. 2 b but the lower classes than level 2 is very objective.

• The Journal of Korean Medicine
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• v.32 no.1
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• pp.121-129
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• 2011

Objective: The propose of this study is to build a conceptual framework for representing clinical findings in Traditional East Asian Medicine(TEAM). As the existing standard models have been developed without considering features of Traditional Medicine, in this study we introduced unique characteristics for the TEAM. Method: This study was composed of three steps. First, we analyzed whether the existing clinical information models are suitable for representing clinical findings. Second, we analyzed ISO/TS 22789 model which is a ISO medical informatics standard, to find out the problem by applying clinical findings of TEAM into the model. Finally, we defined semantic links and a concept hierarchy in our model based on the analyzed results. The model includes the concepts for clinical findings and terms, and the semantic links can be regarded as relations between concepts, so that the representating clinical findings are completed by connecting concepts with other concepts. Results: Our framework was developed by removing unnecessary semantic links, and adding some necessary ones based on ISO/TS 22789 model. The ISO/TS 22789 model has a simple concept hierarchy, but in this study we subdivided the hierarchy and also considered interoperability with other terminological systems and standard models. Conclusions: This research needs more discussions, but is meaningful as proposing a way how to develop Traditional Medicine terminological systems. This study shows the limitations of existing models in describing clinical findings for TEAM, and what should be considered to represent Traditional Medicine knowledge, and propose a solution to improve the problem.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.583-585
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• 2013

The Universal Plug and Play (UPnP) specification enables sharing of diverse multimedia contents among different devices. Contents discovered via UPnP are organized using directory hierarchy. If there are multiple sources of content providers and if the directory becomes large, managing and searching of the shared contents can be difficult. In this paper, an enhanced contents searching method is proposed by using semantic annotations. UPnP metadata is expanded to include semantic annotations to enable natural contents searching.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.173-186
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• 2013

New information technologies make it easy to access and acquire information in various ways. However, It also enable powerful and various threat to system security. To challenge these threats, various extended access control methods are being studied. We suggest a new extended access control method that make it possible to conform to security policies enforcement even with discrepancy between policy based constraints rules and query based constraints rules via their semantic relationship. New our approach derives semantic implications using tree hierarchy structure and coordinates the exceed privileges using semantic gap factor calculating the degree of the discrepancy. In addition, we illustrate prototype system architecture and make performance comparison with existing access control methods.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.354-360
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• 2006

The purpose of this paper is to propose a securely personalized context-aware cooperative query that supports a multi-level data abstraction hierarchy and conceptual distance metric among data values, while considering privacy concerns around user context awareness. The conceptual distance expresses a semantic similarity among data values with a quantitative measure, and thus the conceptual distance enables query results to be ranked. To show the feasibility of the methodology proposed in this paper we have implemented a prototype system in the area of site search in a large-scale shopping mall.

• Asia pacific journal of information systems
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• v.7 no.1
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• pp.85-97
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• 1997

This paper is concerned with knowledge representation schemes best suited for human resource management (HRM) problem domains including human resource planing, selection, placement, compensations, performance evaluation, training and labor-management relations. In order to suggest the scheme we consider two research gods. First, we evaluate and prioritize. The knowledge representation techniques of frames rules, semantic nets and predicate logic that hove been recommended to managerial domains. The combined Analytic Hierarchy Process technique is employed to combine individual judgments effectively between two different expert groups. As a result if we are to select a single knowledge representation technique, a frame representation is best for most HRM domains and to combine frames with others is another choice. Second as a strategy for knowledge representation schemes we show some examples for each damn in terms of labeled semantic nets and two types of rules derived from the semantic nets. We propose nine knowledge components as ontologies. The labeled semantic nets con provide some benefits compared with conventional one. More clearly definea node rode information maces it easy to find the ac information. In the rule sets, the variables are the node of the semantic nets. The consistency of rules is validated by the relationship of the knowledge components.

• The Transactions of the Korea Information Processing Society
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• v.5 no.5
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• pp.1185-1203
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• 1998

When the class is added of deleted in object-oriented system, restructuring of class hierarchy is needed which enables new relationship with classes. But existing system requires much additional analysis costs because it is difficult to know the meaning between parent class and child class. This paper presents the updates method based on semantic modification through new relationship classification method. This method measures the similarity of classes and based on it's relationship, this method restructures class hierarchy by classifying not-equality, part-of, equality, inclusion, subset relation. This method can minimize the probability of meaning error for classes when the class hierarchy is changed. Also this enhances the reusability and understandability through various graphic and text processing.

• Journal of Digital Convergence
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• v.7 no.3
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• pp.137-146
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• 2009

This paper aims to propose a framework of content creating group with creativity under new convergence environments. The framework is built based on content concept hierarchy(deep/surface) relating with the creativity of group members. The diversity of group members(potential creativity) decrease and change into creative abilities in one unified view at each content concept hierarchy in time. To do this, three methods of building a creative group(interaction-base, direction-base, hybrid) are proposed. Cooperating processes and operators are designed to promote creative abilities in the content producing group. These cooperations are considering new media convergence industry's job road map(IPTV) and fundamental content attributes(semantic, narrative, discourse). In the framework, creative content is produced with the help of member's cultural openness, media richness and synchronicity, hierachical adaptability on dissimilarity. Deep level creativity of cognitive semiotics on moving image content is composed of psychological, transformational, situational creating abilities in the structure of group members. Designing analogy, metaphor, symbol operators help members to traverse deep structure of content concept hierarchy. Our framework has strong points to relate fundamental content deep structure with structure of content producing group and to induce creativity on cognitive structure of human being.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.557-568
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• 2008

An ontology as the core element of Semantic Web is a formal specification of a conceptualization of shared domain knowledge. The use of well-defined ontologies can increase the quality of interoperable information systems in the area of Semantic Web. However, in practice, it is not easy to develop high-quality ontologies which have no errors. Therefore, with methodologies for ontology design, various methods or tools for ontology analysis supporting for error-detection might be very helpful for ontology developers. In this paper, we propose a novel approach for analyzing the core constructs of ontology based on the Formal Concept Analysis and develop a tool that supports error-checking ontologies. Our approach can serve not only as a guidance to modify the existing ontologies, but also as a valuable tool in developing high-quality ontologies.