• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.231-235
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• 2003

Network infrastructure has spread to an unprecedented extent and is used in various computing devices, such as smart appliances, smart phones, and embedded devices with sensors, which have all been appearing in the computing environment. To accommodate this trend, for a more intelligent service environment, the service platform needs to have abilities that facilitate the operation between services, dynamically share distributed computing resources, and manage appropriate contextual information. We have simulated a service platform to provide intelligent services using contextual information after having implemented the context management service. The context management service gathers raw contextual information from sensors and stores these in the context database. For a consistent basis of contextual information, time and location are used as the key values of the contextual information. The context management service also performs normalization to provide computable contextual information to context-aware applications. In this paper, a service platform based on Jini technology is proposed for constructing an interoperable, dynamic, and . intelligent service environment using contextual information.

• Journal of Information Technology Applications and Management
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• v.14 no.4
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• pp.75-96
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• 2007

The effects of information quality and the importance of information have been reported in the Information Systems (IS) literature. However, little has been learned about the impact of information visualization types and contextual information on decision quality. Therefore, this study investigated the interaction effects of these variables on decision quality by conducting a laboratory experiment. Based on two types of information visualization and the availableness of contextual information, this study had a $2{\times}2$ factorial design. The dependent variables used to measure the outcomes of decision quality were decision accuracy and time. The results demonstrated that the effects of contextual information on decision quality were significant. In addition, there was a significant main effect of information visualization on decision accuracy. The findings suggest that decision makers can expect to improve their decision quality by enhancing information visualization types and contextual information. This research may extend a body of research examining the effects of factors that can be tied to human decision-making performance.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.41-64
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• 2005

The effects of information quality and the importance of information have been reported in the information Systems(IS) literature. However, little has been learned about the impact of data quality(DQ) on decision performance. Recognizing with this problem, this study explores the effects of contextual DQ on decision performance. To examine them, a laboratory experiment was conducted. Based on two levels of contextual DQ and two levels of task complexity, this study had a $2{\times}2$ factorial design. The dependent variables used to measure the outcomes of decision performance were problem-solving accuracy and time. The results demonstrated that the effects of contextual DQ on decision performance were significant. The findings suggest that decision makers can expect to improve their decision performance by enhancing contextual DQ. This research not only extends a body of research examining the effects of factors that can be tied to human decision-making performance, but also provides empirical evidence to validate and extend DeLone and McLean's IS success model.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.6
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• pp.778-786
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• 2002

Scene boundary detection is important in the understanding of semantic structure from video data. However, it is more difficult than shot change detection because scene boundary detection needs to understand semantics in video data well. In this paper, we propose a new approach to scene segmentation using contextual information in video data. The contextual information is divided into two categories: local and global contextual information. The local contextual information refers to the foreground regions' information, background and shot activity. The global contextual information refers to the video shot's environment or its relationship with other video shots. Coherence, interaction and the tempo of video shots are computed as global contextual information. Using the proposed contextual information, we detect scene boundaries. Our proposed approach consists of three consecutive steps: linking, verification, and adjusting. We experimented the proposed approach using TV dramas and movies. The detection accuracy of correct scene boundaries is over than 80%.

• Korean Journal of Child Studies
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• v.24 no.5
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• pp.91-104
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• 2003

This study analized the strategies in beginning readers by age and reading ability. Sixty 4-and 5-year old subjects took a reading test based on Bsatjes & Brown(1997) and Park, et a1.(1989). They read contextual and non-contextual storybooks. Errors in oral reading were recorded as mispronunciations, substitutions, omissions, insertions, teacher-assistance and self-corrections. Mispronunciations and substitutions were Specifically evaluated for graphic and contextual reading strategies. Data were analyzed by percentage and mean. Results revealed that children made more mispronunciation errors in reading the non-contextual story book. They used graphic information more than contextual information. Fine-year olds and high-level readers developed the use of graphic and contextual cues simultaneously.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.16 no.2
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• pp.61-82
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• 2005

It is essential to describe information on a person, family or corporate body that is responsible for creation of archives in providing archival contextual information. This paper discusses the establishment of contextual information based on the authority control of creators of archives by using international standards such as ISAAR (CPF) : International Standard Archival Authority Record for Corporate Bodies, Persons, and Families, Second edition and EAC(Encoded Archival Context). It introduces the LEAF(Linking and Exploring Authority Files) Project in Europe, which presents the model for exchanging and sharing of authority data between libraries, archives and museums by employing EAC. The concluding remarks stress limitations associated with establishing and exchanging of authority files and requirements for the establishment of archival contextual information nationally.

• The Journal of Information Systems
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• v.14 no.2
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• pp.237-256
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• 2005

데이터 웨어하우스는 기업의 통합된 데이터의 저장하는 곳이며, 대게는 상당한 규모를 가지고 있다. 또한, 데이터 웨어하우스는 일반적으로 다양한 종류의 데이터를 저장함으로 데이터 웨어하우스에 저장된 데이터는 의사결정 임무에 따라서는 그 질적, 적합성에 차이를 나타내고는 한다. 이러한 데이터 웨어하우스의 특성으로 인해서 때로는 데이터 웨어하우스의 데이터의 효용성이 기업의 의사결정을 지원하는데 있어 제한적일 수 있다. 정보 시스템의 문헌에는 데이터의 질이 의사결정 성과에 미치는 영향에 대해서 많이 알려져 있지 않다. 그래서, 본 연구는 contextual data(상황적 데이터)의 질과 업무의 복잡성이 의사결정 성과에 미치는 영향에 대해서 탐구해보고자 한다. Contextual data의 질과 업무의 복잡성이 의사결정의 성과에 미치는 영향을 조사하기 위하여 웹을 기반으로 하는 데이터 웨어하우스를 이용하는 실험을 실행했다. 연구의 결과는 contextual data의 질이 의사결정의 성과에 영향을 미친다는 것을 통계적으로 보여주었다. 이러한 연구결과는 의사결정자의 의사결정 성과를 향상시키기 위해서는 데이터 웨어하우스의 contextual data의 질을 향상시켜야한다는 것을 제시하고 있다.

• Korean Journal of Health Education and Promotion
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• v.21 no.4
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• pp.75-97
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• 2004

Objectives: To examine whether the socioeconomic characteristics of communities (contextual effects) are related to the self-rated health of community residents after controlling individual characteristics (compositional effects). Methods: A linked data set including information on individuals from raw data of 1998 Korean National Health and Nutrition Survey(KNHNS) and information on the regions where the individuals lived from the socioeconomic statistical indices of Si-Gun-Gu (city-county-ward) in 1998 was established. The contextual factors of communities were generated from these socioeconomic indices through factor analysis. The contextual effects of community over and above the individual characteristics on the self-rated health were investigated using multilevel analysis. Results: The contextual factors of the community expressed as the factor scores have influence on the self-rated health of their residents above the compositional factors. When the communities were categorized into 5 groups (highest, high, middle, low, lowest) according to each of their factor scores, for factor 1 reflecting urbanization reversely, the residents of the communities that had the high, middle, and low factor scores showed significantly poor subjective health status than the residents of the lowest (most urbanized) group. For factor 2 reflecting community services and health resources, the subjective health status of the residents gradually became poorer when the group went from the highest to the lowest, and the low and lowest groups showed a significant difference. For factor 3 reflecting the manufacturing industry, as compared with the communities that have the highest factor scores, the other 4 groups showed significantly poorer subjective health status. And for factor 4 reflecting the scale of the regional government, as compared with the middle group, the rest of the 4 groups showed significantly better self-rated health. Conclusions: There existed regional contextual effects on their residents' health in Korean adults. To make policies tackling these contextual effects possible, more elaborate researches to find more specific factors and to explain the mechanisms of how health is influenced by the contextual factors are needed.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.15-28
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• 2015

As personal devices and pervasive technologies for interacting with networked objects continue to proliferate, there is an unprecedented world of scattered pieces of contextualized information available. However, the explosive growth and variety of information ironically lead users and service providers to make poor decision. In this situation, recommender systems may be a valuable alternative for dealing with these information overload. But they failed to utilize various types of contextual information. In this study, we suggest a methodology for context-aware recommender systems based on the concept of contextual boundary. First, as we suggest contextual boundary-based profiling which reflects contextual data with proper interpretation and structure, we attempt to solve complexity problem in context-aware recommender systems. Second, in neighbor formation with contextual information, our methodology can be expected to solve sparsity and cold-start problem in traditional recommender systems. Finally, we suggest a methodology about context support score-based recommendation generation. Consequently, our methodology can be first step for expanding application of researches on recommender systems. Moreover, as we suggest a flexible model with consideration of new technological development, it will show high performance regardless of their domains. Therefore, we expect that marketers or service providers can easily adopt according to their technical support.

• Journal of Korean Society of Archives and Records Management
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• v.9 no.1
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• pp.151-173
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• 2009

The classification in the Records and Archives Sciences focuses on the contextual information in producing and utilizing records rather than their contents. This study aimed at designing an automatic records classification system to enable an automatic classification focusing on the aggregation of the context of records rather than the contents of individual record in the classification scheme, structured on the basis of business activities analyses for records reflecting the business activities. The automatic records classification system was designed to have mutual supplements by constructing the classification scheme and thesaurus together as the classification reference, as well as the aggregation of records that have been already classified. Additionally included are plans to apply the classified contextual information of records to the classification reference on the real-time base right after the category assignment of records to be classified. Although there are limitations as the designed system depends on the quality of the contextual information, it is considered that the system could lead to ensure that the contextual information of records should be more substantial.