• The Journal of Korean Association of Computer Education
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• v.6 no.4
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• pp.171-180
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• 2003

The recent paradigm of web-based teaching-learning is changing into a direction that analyzes the learning patterns of learners on the basis of learners' ability, aptitude, request, interest, learning history, activity profile, etc. and provides adaptive environment with individual learners The present study analyzed learners' learning patterns using data on learning activities and developed a personalization system that provides learning environment adapted to individual learners. This study customized in three aspects, which are recommendation of learning path, recommendation of interface and recommendation of interaction, through Web mining. The personalization system developed in this study was proved to be effective in improving individual learners' satisfaction with learning in Web-based teaching-learning environment.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.39-48
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• 2013

Ontology has an important role in semantic web to construct and query semantic data. When system make changes to ontologies, questions arise about versioning of these changes. Applying this changes on a dynamic environment is even more important. To apply these changes, change specification method is needed. Early studies show RDF-based syntax for the operations between old and new ontologies. When several ontology versions can be used for some query, if possible, using possible newest version ontology with prospective use is best way to process the query. Prospective use of ontology means using a newer version of an ontology with a data source that conforms to a more recent ontology. In this paper, for prospective use of ontology version, structure of change specification of class and property through several ontology versions is proposed. From this, efficient adaptive ontology version selection for a query can be possible. Algorithm for structure of version transition representation is proposed and simulation results show possible newest version number for queries.

• English Language & Literature Teaching
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• v.7 no.2
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• pp.17-36
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• 2002

This article begins by exploring recent developments in the use of the world wide webs in language testing about what a Web-based language test (WBT) is and how they are used in language testing. After a brief review of computer-based testing, WBTs are defined and categorized as low-tech or high tech. Since low-tech tests are the more feasible, they will constitute the focus of this paper. Next, item types for low-tech WBTs are described, and validation concerns that are specific to WBTs are discussed. After a brief overview of the combination of computer-adaptive and Web-based tests, the general advantages as well as design and implementation issues of WBTs are considered before examining the role that testing consequences play in deciding whether a WBT is an appropriate assessment instrument. It is argued that WBTs are most appropriate in low-stakes testing situations; but with proper supervision, they can also be used in medium-stakes situations although they are not generally recommended for high-stakes situations. Some possible ideas for future research are suggested.(169)

• 한국HCI학회:학술대회논문집
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• 2007.02c
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• pp.158-163
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• 2007

본 논문의 목적은 PC 용으로 구축되어 있는 웹 컨텐츠를 PDA나 휴대폰과 같은 다양한 멀티플랫폼 단말기에도 제공할 수 있도록 하는 것이다. 기존의 대부분 방식은 모든 단말기에 서비스 할 수 없으므로 단말기용으로 모바일 컨텐츠를 미리 생성해 놓고 그 제한된 단말기에만 서비스하였다. 이때 가장 큰 문제점은 하나의 PC 웹 컨텐츠를 이용하여 다양한 하드웨어 특성을 가지는 모바일 단말기 마다 재생 가능한 모바일 컨텐츠를 모두 생성하는 것이다. 본 논문에서는 MPEG-21 멀티미디어 프레임워크를 이용하여 유선 웹 컨텐츠를 다양한 멀티 플랫폼 단말기에 실시간으로 맞추어 서비스하는 시스템을 제안한다. 제안한 시스템은 다양한 단말기별로 모바일 컨텐츠를 생성하는 것이 아니라 모바일 컨텐츠의 구성 및 표현방법을 MEPG-21 의 DIDL 을 이용하여 중간언어로써 기술한다. 그리고 멀티미디어 데이터 부분(Resource)만 Off-line으로 미리 변환한다. 이동단말기 접속 시 멀티미디어 서술(Description)부분을 실시간으로 변환하고 그 단말기가 사용 가능한 변환된 리소스를 통하여 단말기에 적합한 모바일 컨텐츠를 실시간으로 생성하여 서비스한다. 본 논문은 추가적으로 모바일 웹 서비스를 제공하는 과정에서 발생할 수 있는 응답시간 지연 현상을 최소화 하기 위하여 선 서비스 후 변환 방법을 제안한다.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.9
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• pp.495-502
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• 2004

A rapid growth of the Internet user and rich media content cause an excessive server load and high network traffic, and thus it decreases the quality of service. A solution to this problem is to distribute the content on multiple replicated servers. However, in this circumstance, clients face additional task of selecting the best server to provide proper so${\gamma}$vice which clients request. This paper is intended to propose an adaptive server selection mechanism for a client request based on distance and server load. This will offer a fast and scalable service in response to the increase of massive and realtime multimedia content and contribute to floating a new business model of digital content service.

• Journal of KIISE:Databases
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• v.33 no.3
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• pp.327-341
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• 2006

As we are getting to deal with more applications that generate streaming data such as sensor network, monitoring, and SDI (selective dissemination of information), active research is being conducted to support efficient processing of queries over streaming data. The applications on the Web environment like SDI, among others, require query processing over streaming XML data, and its investigation is very important because XML has been established as the standard for data exchange on the Web. One of the major problems with the previous systems that support query processing over streaming XML data is that they cannot deal adaptively with dynamically changing stream because they rely on static query plans. On the other hand, the stream query processing systems based on relational data model have achieved adaptiveness in query processing due to query operator routing. In this paper, we propose a system of adaptive query processing over streaming XML data in which the model of adaptive query processing over streaming relational data is applied. We compare our system with YFiiter, one of the representative systems that provide XML stream query processing capability, to show efficiency of our system.

• Journal of The Korean Association of Information Education
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• v.16 no.3
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• pp.275-282
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• 2012

Existing web based learning system provides various instruction paths. However, learners are provided with the same instruction content with little consideration of each learner's learning style. Therefore, Current Web based learning is lacking as a system that encourages individual learning, by failing to provide for proper instruction methods for each learner. This prototype system can find the most effective way of learning for each learner by analyzing a learner's learning. It also provides content based on the most effective instruction method for the learner taking into consideration learning style. Especially, this proposed adaptive learning system supporting dynamic link by learning style by evaluation for each steps of leaning process.

• Journal of Korea Multimedia Society
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• v.14 no.7
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• pp.905-916
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• 2011

Recently, the W3C has developed the HTML 5 standard to provide various multimedia services as well as a web based streaming. HTML5 based web browsers with the built-in video codecs can be used directly for streaming services, though previous web browsers should contain playback plug-in for streaming services. In addition, an adaptive streaming technology using HTTP/TCP has been standardized, since an Internet firewall does not support RTP/UDP streaming protocol but HTTP/TCP streaming protocol. In this paper, we propose the service migration mechanism among various devices in the HTML5-based adaptive HTTP streaming environments. The proposed algorithm and architecture were modeled for migrating media flows, media flow control, and session control and implemented using JavaScript. Finally, we showed that the proposed mechanism was effective to migrate HTTP streaming service among various devices by performing several experiments.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.35-45
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• 2012

Researchers and scientists spend huge amount of time in analyzing the previous studies and their results. In order to timely take the advantageous position, they usually analyze various resources such as paper, patents, and Web documents on recent research issues to preoccupy newly emerging technologies. However, it is difficult to select invest-worthy research fields out of huge corpus by using the traditional information search based on keywords and bibliographic information. In this paper, we propose a method for efficient creation, storage, and utilization of semantically relevant information among technologies, products and research agents extracted from 'big data' by using text mining. In order to implement the proposed method, we designed an ontology that creates technological knowledge for semantic web environment based on the relationships extracted by text mining techniques. The ontology was utilized for InSciTe Adaptive, a R&D trends analysis and forecast service which supports the search for the relevant technological knowledge.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.18-26
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• 2010

Many personalized services that provide users with adaptive information according to users' preferences have been researched and developed. Push services are especially expected to be more economic impact because push services satisfy user's potential needs even if the user does not require anything. In this paper, we propose Semantic Web approach in order to enhance the performance of push services. Our approach provides infrastructure to recommend contents based on semantic association by enabling information of contents and user preferences to be described on service-specific ontologies that reflect features of each service. In addition, our approach can recommend users with adaptive information based on information represented in our description model. Our approach enables information of contents and user preferences to be described with rich expressiveness, and it provides semantic interoperability.