• Journal of KIISE:Databases
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• v.34 no.5
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• pp.448-464
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• 2007

Location-Based Services (LBSs) provide results to queries according to the location of the client issuing the query. In LBS, techniques such as caching and prefetching are effective approaches to reducing the data transmission from a server and query response time. However, they can lead to cache inefficiency and network overload due to the client's mobility and query pattern. To solve these drawbacks, we propose a semantic prefetching (SP) scheme using prefetching segment concept and improved cache replacement policies. When a mobile client enters a new service area, called semantic prefetching area, proposed scheme fetches the necessary semantic information from the server in advance. The mobile client maintains the information in its own cache for query processing of location-dependent data (LDD) in mobile computing environment. The performance of the proposed scheme is investigated in relation to various environmental variables, such as the mobility and query pattern of user, the distributions of LDDs and applied cache replacement strategies. Simulation results show that the proposed scheme is more efficient than the well-known existing scheme for range query and nearest neighbor query. In addition, applying the two queries dynamically to query processing improves the performance of the proposed scheme.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.25-31
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• 2007

An automatic term-network construction system is proposed in this paper. This system uses the statistical values of the terms appeared in a document corpus. The 186 oral history documents collected from the Saemangeum area of Chollapuk-do, Korea, are used for the research. The term relationships presented in the term-network are decided by the cosine similarities of the term vectors. The number of the terms extracted from the documents is about 1700. The system is able to show the term relationships from the term-network as quickly as like a real-time system. The way of this term-network construction is expected as one of the methods to construct the ontology system and to support the semantic retrieval system in the near future.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.802-803
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• 2017

소셜 네트워크, 웹 시멘틱, 협력 네트워크 등과 같이 다양한 응용에서 대용량 그래프 데이터를 이용한다. 최근 이러한 데이터를 분석하기 위해 대용량 그래프 데이터를 효율적으로 시각화 하는 연구가 제안되었다. 이에 본 연구에서는 대용량 그래프 데이터를 효율적으로 시각화 하는 방법에 대한 최신 연구 동향을 조사한다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.163-165
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• 2004

유비쿼터스 로봇은 최근에 소개된 새로운 형태의 네트워크 기반 로봇으로서 유비쿼터스 컴퓨팅 환경하에서 사용자에게 끊임없고 자연스러운 상황 기반의 서비스를 제공하는 소프트웨어 및 하드웨어 로봇을 통칭하는 말이다. 따라서 이와 같은 유비쿼터스 로봇 시스템은 사용자에게 서비스 제공을 위한 자율성(Autonomy), 편재성(Ubiquity), 상황 인지성(Context-awareness) 및 연속성(Seamlessness)의 요구사항을 만족해야 하며, 이를 위해 센서 네트워크, 정보가전 기기, 인터넷 점보 컨텐츠 등와 같은 다양한 유비쿼터스 컴퓨팅 자원을 기반으로 자율적인 서비스 구성 및 수행을 할 수 있는 기능을 제공해야 한다. 본 논문에서는 지능형 서비스 에이전트를 위한 차세대 웹 기술인 시엔틱 웹 서비스를 기반으로 유비쿼터스 로봇 시스템의 프레임워크를 설계하고 Evolution Robotics사의 ERSP 3.0 로봇 플랫폼을 기반으로 프로토타입 시스템을 구현한다.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.223-226
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• 2006

The development of Semantic Web basically requires knowledge induced from the formalization and semantization of information, and thus ontology should be introduced as a knowledgization tool. URI(Universal Resource Identifier) is an indispensible scheme to uniquely indicate individuals on ontology. However, it is difficult to find the use cases of URI in real data including science & technology publications. This paper describes the method to construct human resources based on URI which are the critical components on national R&D reference information ontology. We use co-authors, e-mails, publication date, and affiliation for discriminating authors with the same strings. HRST is referred to acquire human resource URIs. We expect the human resources would be adopted to outcome analysis applications such as researcher network analysis and outcome statistics.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.67-76
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• 2019

In this paper, we propose an efficient object classification method based on semantic segmentation for multi-labeled image data. In addition to various pixel unit information and processing techniques such as color information, contour, contrast, and saturation included in image data, a detailed region in which each object is located is extracted as a meaningful unit and the experiment is conducted to reflect the result in the inference. We use a neural network that has been proven to perform well in image classification to understand which object is located where image data containing various class objects are located. Based on these researches, we aim to provide artificial intelligence services that can classify real-time detailed areas of complex images containing various objects in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.152-155
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• 2011

최근 사회생활의 다변화로 인한 개인의 질환을 예방하고 건강을 증진시키기 위한 개인 웰니스 관리는 현대 사회의 성인에게는 필수적인 자기 관리에 해당된다. 본 논문는 이러한 웰니스 관리에 적절한 상황 모델로써 상황 데이터를 추론할 수 있는 SWRL 상황규칙과 불확실성을 표현한 베이지안 네트워크를 포함한 통합 온톨로지 기반 상황모델을 제시하였다. 제안한 상황모델에 포함된 추론 규칙은 웰니스 관리에 필요한 상황 서비스를 수행하는 액션들을 정의한다. 즉 상황 온톨로지에 SWRL 규칙을 포함함으로써 주로 웹 시멘틱에 사용되고 있는 OWL 언어를 상황인식 분야의 지식 베이스 구축에도 적합하도록 하였다. 그리고 웰니스 관리를 위해 상황 온톨로지로 표현되는 원시 상황 데이터는 센서 부정확성, 또는 개인 판단기준 차이로 인해 불확실성을 포함하므로, 어떤 논리적 상황 데이터는 불확실성을 고려하여 추론되어야 하기 때문에 본 논문은 상황 온톨로지 및 SWRL 규칙과 함께 베이지안 네트워크를 함께 표현할 수 있게 하여 OWL 상황 온톨로지 기반 규칙 추론뿐만 아니라 확률 추론을 용이하게 하였다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.167-181
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• 2023

This study utilized TEXTOM, a social network analysis program to analyze changes in current tourism behavior after travel restrictions were eased after the outbreak of COVID-19. Data on the keywords 'domestic travel' and 'overseas travel' were collected from blogs, cafes, and news provided by Naver, Google, and Daum. The collection period was set from April to December 2022 when social distancing was lifted, and 2019 and 2020 were each set as one year and compared and analyzed with 2022. A total of 80 key words were extracted through text mining and centrality analysis was performed using NetDraw. Finally, through the CONCOR, the correlated keywords were clustered into 4. As a result of the study, tourism behavior in 2022 shows tourism recovery before the outbreak of COVID-19, segmentation of travel based on each person's preferred theme, prioritization of each country's corona mitigation policy, and then selecting a tourist destination. It is expected to provide basic data for the development of tourism marketing strategies and tourism products for the newly emerging tourism ecosystem after COVID-19.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.167-172
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• 2013

In recent years, mobile healthcare systems that transfer patient data wirelessly have been used in the medical field. However, the current messages supported to patients are difficult to satisfy the specific patients, and there is a lack of healthcare systems to help manage patients with diabetes or pregnant women on a regular basis. In this regard, this paper demonstrates that the semantic-web service to which data transfer method, application framework and networking of WPAN are applied can be implemented. In addition, it suggests common data types to integrate data from a variety of sources and provides a common framework in which information on the Web can be shared and reused in applications, businesses and communities, etc. As an example, the healthcare monitoring that can manage healthcare for pregnant women, which includes confirmation of pregnancy, periodic health management, fetal movement, prenatal care and health-related knowledge, is proposed.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.4
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• pp.402-409
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• 2006

In recent years, several methods in distributed environment have been proposed in which a user-centered multimedia service may be efficiently provided. However, problems such as the improvement of QoS, streaming and the dynamic service of data for distributed service of multimedia data are introduced. In this paper we propose $POX -H_{r}$ structure for user-centered multimedia service in distributed network environment. The proposed $POX -H_{r}$ structure are constructed by disjunct, conjunct, semantic and filtering mapping scheme, and its structure are updated by $M_{filtering}$ scheme. The comparison results shows that the proposed method provides the better than the other methods.