• The Transactions of the Korea Information Processing Society
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• v.7 no.4
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• pp.1050-1061
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• 2000

This paper presents a new object model, LOM(Lightweight Object Model) and an implementation method for the distributed trader in heterogeneous distributed computing environment including mobile network. Trader is third party object that enables clients to find suitable servers, which provide the most appropriate services to client in distributed environment including dynamic reconfiguration of services and servers. Trading service requires simpler and more specific object model than genetic object models which provide richer multimedia data types and semantic characteristics with complex data structures. LOM supports a new reference attribute type instead of the relationship, inheritance and composite attribute types of the general object oriented models and so LOM has simple data structures. Also in LOM, the modelling step includes specifying of the information about users and the access right to objects for security in the mobile environment and development of the distributed storage for trading service. Also, we propose and implementation method of the distributed trader, which integrates the LOM-information object model and the OMG (object Management Group) computational object model.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.142-144
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• 2011

In a world in constant changes, more and more devices are producing data and it is indispensable to manage these data. That is why map reduce framework is a solution to manage a large amount of data in a fast and right way. In the other hand semantic web (RDF/OWL) is getting popular and can be a solution to manage data in an efficient way, so that such data can be retrieved and understood by both human and machine. In this paper we describes and analyze some projects that manages RDF with Map-Reduce framework.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.331-333
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• 2010

최근 IT산업의 발전으로 인해 광범위한 정보가 존재하는 웹 기반 환경에서 원하는 정보의 검색과 검출을 위한 시멘틱 웹(Semantic Web) 기반의 온톨리지에 대하여 연구가 다양하게 진행 중이다. 본 논문에서는 온톨로지 기법을 이용하여 인간의 다양한 편의와 친환경적인 습지의 수질 관리에 대한 통합적이고 편리한 관리를 위해 WSN 기반의 습지 수질 관리에 특화된 온톨리지 설계 및 구축을 진행하였다.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.1737-1744
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• 2004

Isotype should be carried out together with the function of explaining procedures, processes, usages, etc. accurately. Because it is a semitic semantic-information-intensive object as an representative example of non-verbal communication, it must meet formative conditions for conveying the various meanings of symbolic contents retained in it suggestively. In this way isotype is a common language with visuality, attention and universality, expressing definite contents in specific images. That is, it is necessary to establish a visual perceptive standard, design guidelines and required conditions and to implement systematically by stipulating rules for management. Thus isotype used in FRT, which is designed for easy perception of concepts, procedures, methods, structures, etc., can contain all factors used in the expression of information.

• Journal of Information Technology Applications and Management
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• v.13 no.1
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• pp.137-147
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• 2006

Spatiotemporal data are records of the spatial changes of moving objects over time. Most data in corporate databases have a spatiotemporal nature, but they are typically treated as merely descriptive semantic data without considering their potential visual (or cartographic) representation. Businesses such as geographical CRM, location-based services, and technologies like GPS and RFID depend on the storage and analysis of spatiotemporal data. Effectively handling the data analysis process may be accomplished through spatiotemporal data warehouse and spatial OLAP. This paper proposes a multidimensional model for spatiotemporal data analysis, and cartographically represents the results of the analysis.

• Korean Journal of Child Studies
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• v.26 no.4
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• pp.279-279
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• 2005

The purpose of this study was to clarify how adolescent recognize their father according to the father demographic characteristics. The analysis was performed for 400 students in Seoul on the basis of two measuring tools that were adolescent's father image criterion developed from Seon hwa Cho, Myung seon Choi(2004) and semantic analysis criterion from Osgood(l957). Father image were inclined to friend when their father was younger. Adolescent were recognizing their father as a friend, advisor, and able man when their father had high level profession. On the other hand they felt father as a difficult being to make intimate relationship when their father had management occupations. Christian and Buddhist fathers were recognized as a advisor. Catholic and Christian father were showing less tired aspect rather than Buddhist and atheism father. Catholic and Buddhist fathers were recognized more active person. Adolescent were recognized their father as a friend, advisor, and able man when their father were high educated person.

• Industrial Engineering and Management Systems
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• v.10 no.4
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• pp.238-246
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• 2011

Given a directed graph, we can determine how the user's preference moves from one product item to another. In this graph called "preference transition network", each node represents the product item while its edge pointing to the other nodes represents the transition of user's preference. However, with the large number of items make the network become more complex, unclear and difficult to be interpreted. In order to address this problem, this paper proposes a visualization technique in preference transition analysis based on recency and frequency. By adapting these two elements, the semantic meaning of each item and its transition can be clearly identified by its different types of node size, color and edge style. The experiment in a sales data has shown the results of the proposed approach.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.73-75
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• 2004

기존의 WSDL이 갖고 있던 문제정올 개선하고 좀더 의미있는 서비스 기술이 가능한 시맨틱 웹 서비스는. 현재의 뜬 서비스와 유사하지만 웹 서비스를 기술하던 WSDL 대신 시맨틱 웹 기술언어를 기반으로 한 새로운 기술 언어(DAML-S)를 사용한다. 이런 상황 속에서 만일 수많은 회사에서 자신들의 서비스를 제공하고. 그 사실을 알리기 위해서 시맨틱 엠 서비스 문서를 발간했을 때, 자연히 사용자는 검색 엔진을 사용하여 그런 비즈니스 정보를 검색하게 되고 사용자가 원하는 서비스, 사용자가 만족할 수 있는 서비스를 찾고 결합시켜주는 검색 엔진이 필요하게 될 것이다. 따라서, 시맨틱 웹 정보 검색은 기존의 정보 검색과는 다른 형태의 검색이 된다. 기존의 문서 내 단어의 존재 유무나 빈도수와 같은 휴리스틱한 방법을 적용하기는 매우 어려우며, 시맨틱 웹 기술 언어네 알맞은 새로운 검색 방법과 저장 시스템이 필요하다. 이 논문에서는 시맨틱 웹 정보 중 특별히 시맨틱 웹 비즈니스 정보에 대한 효율적인 저장 시스템의 모델을 제시하고자 한다. 이 모델을 통해서 시맨틱 웹 비즈니스 정보를 구조화하고 효율적으로 저장할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.895-897
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• 2019

모바일의 기술 발전과 소셜미디어 사용의 증가로 수없이 많은 멀티미디어 콘텐츠들이 생성되고 있다. 이러한 많은 양의 콘텐츠 중에서 사용자가 원하는 이미지를 효율적으로 찾기 위해 의미 기반 이미지 검색을 이용한다. 이 검색 기법은 이미지에 의미 있는 정보들을 이용하여 사용자가 찾고 자하는 이미지를 정확하게 찾을 수 있다. 본 연구에서는 모바일 환경에서 이미지가 가질 수 있는 의미적 정보를 어노테이션 하고 이와 더불어 모바일에 있는 이미지에 풍성한 어노테이션을 위해 딥러닝 기술을 이용하여 다양한 태그들을 자동 생성하도록 구현하였다. 이렇게 생성된 어노테이션 정보들은 의미적 기반 태그를 통해 RDF 트리플로 확장된다. SPARQL 질의어를 이용하여 의미 기반 이미지 검색을 할 수 있다.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1119-1130
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• 2019

With the wide spread of Social Network Services (SNS), fake news-which is a way of disguising false information as legitimate media-has become a big social issue. This paper proposes a deep learning architecture for detecting fake news that is written in Korean. Previous works proposed appropriate fake news detection models for English, but Korean has two issues that cannot apply existing models: Korean can be expressed in shorter sentences than English even with the same meaning; therefore, it is difficult to operate a deep neural network because of the feature scarcity for deep learning. Difficulty in semantic analysis due to morpheme ambiguity. We worked to resolve these issues by implementing a system using various convolutional neural network-based deep learning architectures and "Fasttext" which is a word-embedding model learned by syllable unit. After training and testing its implementation, we could achieve meaningful accuracy for classification of the body and context discrepancies, but the accuracy was low for classification of the headline and body discrepancies.