• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.2
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• pp.131-156
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• 1998

Cooperative query answering is a research effort to develop a fault-tolerant and intelligent database system using the semantic knowledge base constructed from the underlying database. Such knowledge base has two aspects of usage. One is supporting the cooperative query answering Process for providing both an exact answer and neighborhood information relevant to a query. The other is supporting ongoing maintenance of the knowledge base for accommodating the changes in the knowledge content and database usage purpose. Existing studies have mostly focused on the cooperative query answering process but paid little attention on the dynamic knowledge base maintenance. This paper proposes a multi-level knowledge representation framework called Knowledge Abstraction Hierarchy (KAH) that can not only support cooperative query answering but also permit dynamic knowledge maintenance. The KAH consists of two types of knowledge abstraction hierarchies. The value abstraction hierarchy is constructed by abstract values that are hierarchically derived from specific data values in the underlying database on the basis of generalization and specialization relationships. The domain abstraction hierarchy is built on the various domains of the data values and incorporates the classification relationship between super-domains and sub-domains. On the basis of the KAH, a knowledge abstraction database is constructed on the relational data model and accommodates diverse knowledge maintenance needs and flexibly facilitates cooperative query answering. In terms of the knowledge maintenance, database operations are discussed for the cases where either the internal contents for a given KAH change or the structures of the KAH itself change. In terms of cooperative query answering, database operations are discussed for both the generalization and specialization Processes, and the conceptual query handling. A prototype system has been implemented at KAIST that demonstrates the usefulness of KAH in ordinary database application systems.

• Korean Journal of Cognitive Science
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• v.15 no.2
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• pp.33-42
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• 2004

There are many syntactic similarities between Japanese and Korean language. These similarities enable us to build Japanese-Korean translation systems without depending cm sophisticated syntactic analysis and semantic analysis. To further improve translation accuracy, we have been developing a Japanese-Korean translation system using these similarities for several years. However, there still remain some problems with regard to translation of inflected words, processing of multi-translatable words and so on. In this paper, we propose a new method for Japanese-Koran machine translation by using the relationships of two neighboring words. To solve the problems, we investigate the connection rules of auxiliary verb priority. And we design the translation table, which consists of entry tables and connection form tables. for unambiguous words, we can translate a Japanese word to the corresponding Korean word in terms of direct-matching method by consulting the only entry table. Otherwise we have to evaluate the connection value computed from connection form tables and then we can select the most appropriate target word.

• KIEAE Journal
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• v.10 no.3
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• pp.57-62
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• 2010

To effectively use Building Information Modelling (BIM) dealing with semantic information including the entities of building components, the information about building components should be standardized. Like standardized modern buildings. in the past, Korean traditional houses were built according to strict procedures and formats. Therefore, if the Korean traditional house are modelled by using BIM,. not only the Korean traditional house of good quality will be built quickly and cheaply, but also spaces in the existing Korean traditional house will be easily analyzed. However, when analyzing spaces of the Korean traditional house using Space Syntax, some problems are caused in dividing outdoor space such as yard with unclear boundaries, unlike indoor space with clear boundaries surrounded by walls. These comes from the fact that researchers have subjectively divided a space in the house into convex spaces as units for Space Syntax analysis. Therefore, this study aims to develop an objective and rational spatial subdivision technique for Space Syntax analysis of a Korean traditional house modelled by using BIM. We could objectively and reasonably divide a Korean traditional house space into convex spaces by recognizing the building components in the house modelled in the form of Industry Foundation Classes(IFC). Depending on the connection of convex spaces allocated in the spatial subdivision technique, j-graph in Space Syntax could be drawn and the measurements of spatial configurations could be determinded. Through the developed technique, the social properties including the cultural and philosophical aspects of Korean people was identified by measuring the spatial configurations of Korean traditional house. The developed technique will serve as useful means to help architects to find an appropriate purpose of each space for sustainable architecture on the basis of the spatial and social relationships in buildings or urban systems.

• The KIPS Transactions:PartD
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• v.18D no.2
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• pp.133-142
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• 2011

To ensure the successful employment of semantic web services, it is essential that they rely on the use of high quality ontologies. However, building such ontologies is difficult and costly, thus hampering web service deployment. This study automatically builds ontologies from WSDL documents and their underlying semantics, and presents discovery methods of similar web service operations using these ontologies. The key ingredient is techniques that cluster parameters in the collection of web services into semantically meaningful concepts, and capture the hierarchical relationships between the words contained in the tag. We implement an operation retrieval system for web services. This system finds out a ranked set of similar operations using a novel similarity measurement method, and selects the most optimal operation which satisfies user's requirements. It can be directly used for the web services composition.

• Journal of the Korean Home Economics Association
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• v.28 no.3
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• pp.13-24
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• 1990

The main purpose of this study are as follows ; 1) To examine closely the effect of personality dimension on brand image. 2) To investigate the difference of variables about brand image according to the characteristics of the population statistics and draw the strategies of marketing for our wear enterprises. A 300 Samples were selected from female in Seoul and the investigation was conducted during 21 days, from 1998. 9. 21 to 1988. 10. 11. As for survey methozs, the personality dimension test developed by Eysenk was adopted. To measure the brand image, the adjectives of the semantic differentia scale developed by Malhotra and adjective that has been used in various were image analysis were adopted. The data were analysed using the statistical technic of Correlation Coefficient, F-test, and X2 test. The Results obtained from this study were as follows. 1. There were partially significant relationships between adult female's four subordinate variables of the personality dimension and preferred brand image on Women's ready-made wear. 1) The people having a high Psychoticism tendency preferred "individual" image and less preferred "practical" image than the people of low Psychoticism. 2) The people having a high extraversion tendency preferred "bold", "aged" image and less preferred "feminine", "practical" image. 3) The unstable female having a high neuroticism tendency preferred "abscure" image and less preferred "Practical" "gaudy", "Open hearted" image. 4) The people having a high lie tendency perferred "intricate", "classical" image and less preferred "bold", "citified", "incongruous" image. 2. There were partially significant differences in adult female's preferred brand image on women's ready made wear according to the characteristics of the population statistics.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.12
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• pp.2777-2784
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• 2012

To support complex business environment. the enterprise information system requires prompt and flexible response to altered conditions. The development of collaboration among information systems in accordance with changes in enterprises' business environment brings about the problems of duplication of the existing business services and increase in costs of maintenance. In order to supplement and resolve such problems, researches on ontology are under way. Ontology can support the semantic interoperability of Web service by describing the resources of particular business domains and the relationships among them. This thesis suggests ontology that supports interoperability among services. The constructed ontology is designed into the service area, the meta area, and the instance area, which can support the collaboration efficiently by providing the link between the interactivity among businesses and the data. The register and call of constructed ontology are carried out with the interaction of the three areas, that is, the service area, the instance area and the meta area that supports the common elements. The efficiency of the proposed ontology is evaluated by comparing with an existing Web service ontology.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.29 no.4
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• pp.335-345
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• 2016

It has problems to use the existing construction information classification system as the bridge breakdown structure due to lack of relationships between element classes. In this study, we proposed the bridge breakdown system for supplementation of above-mentioned classification system. The proposed system, for geometric information modeling, was based on international standards of methodology for structuring part families namely PLIB Part 42. In particular, the breakdown system, considering of the functional classification for the semantic information of the elements is included. In addition, we proposed a basic framework for actual modeling using bridge breakdown system and showed that it can be used in practice.

• Korean Journal of Biological Psychiatry
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• v.26 no.2
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• pp.71-78
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• 2019

Objectives Suicide is a complex phenomenon not only caused by the individual's mental illness and economic situation, but also occurred in sociocultural contexts and relationships around the individual. Therefore, the attitudes, which include collective norms, thoughts and feelings of a population, toward suicide play a fundamental role in the prevention of suicide. Factor structure of Attitudes Toward Suicide (ATTS), developed by Renberg, is also various in different sociocultural contexts. This is the first study to investigate factor structure of ATTS along with nationwide sample of Korean adults. Methods This study analyzed the factor structure and reliability of ATTS in 1500 regionally stratified Korean adults. Exploratory factor analysis was performed by using principal axis factoring and varimax rotation. Results The selection of 33 ATTS items based on internal consistency and communality was conducted. Five factors were analyzed, which were named 'Good reason,' 'Negative gaze,' 'Predictability,' 'Means of escape,' and 'Common secret,' respectively. Explained total variance was 41.94%, and the internal consistency ranged from 0.516 to 0.740. Conclusions Each of the five factors contains different semantic dimensions. Consistent with previous studies, factors containing permissive attitude toward suicide was high in those with history of suicidal thought and of suicide attempt. It is notable that the 'Good reason' showed higher score in elderly. This may be related to socioeconomic or physical adversities which have been considered the major cause of suicide in elderly.

• Journal of KIISE
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• v.42 no.5
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• pp.580-590
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• 2015

Recently, the issue of efficient power management in datacenters as a part of green computing has gained prominence. For realizing efficient power management, effective power monitoring and analysis must be conducted for servers in a datacenter. However, an administrator should know the exact structure of the datacenter and its associated databases, and is required to analyze relationships among the observed data. This is because according to previous monitoring approaches, servers are usually managed using only databases. In addition, it is not possible to monitor data that are not indicated in databases. To overcome these drawbacks, we proposed an ontology-based monitoring approach. We constructed domain ontology for management servers at a datacenter, and mapped observed data onto the constructed domain ontology by using semantic annotation. Moreover, we defined query creation rules and server state rules. To demonstrate the proposed approach, we designed an ontology based monitoring system architecture, and constructed a knowledge system. Subsequently, we implemented the pilot system to verify its effectiveness.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.549-554
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• 2016

ConceptNet is a common sense knowledge base which is formed in a semantic graph whose nodes represent concepts and edges show relationships between concepts. As it is difficult to make knowledge base integrity, a knowledge base often suffers from incompleteness problem. Therefore the quality of reasoning performed over such knowledge bases is sometimes unreliable. This work presents neural tensor networks which can alleviate the problem of knowledge bases incompleteness by reasoning new assertions and adding them into ConceptNet. The neural tensor networks are trained with a collection of assertions extracted from ConceptNet. The input of the networks is two concepts, and the output is the confidence score, telling how possible the connection between two concepts is under a specified relationship. The neural tensor networks can expand the usefulness of ConceptNet by increasing the degree of nodes. The accuracy of the neural tensor networks is 87.7% on testing data set. Also the neural tensor networks can predict a new assertion which does not exist in ConceptNet with an accuracy 85.01%.