• The KIPS Transactions:PartD
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• v.15D no.1
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• pp.47-60
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• 2008

Success of a semantic web application, currently base on web technology, depend on web ontology construction that provided rule and inference function about knowledge. For, this study compared the ontology construction methods that were already proposed, and analyzed, and investigated characteristics of semantic web and web ontology, investigated characteristics of semantic web and web ontology, and defined characteristics of web ontology as-based technology of a semantic web application and knowledge representation steps, and studied a technical element that related currently web technology, and proposed a web ontology construction method for a semantic web application with bases to these. Established web ontologies of various knowledge fields as applied the construction method that proposed. Also evaluate performance of web ontology through inference verification of web ontologies established, web ontologies evaluated performance of web ontology as used inference verification. According to this, we confirmed that proposed construction method that can establish the ontology suitable for semantic web application.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.119-147
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• 2007

Actually a diffusion of a semantic web application and utilization are situations insufficient extremely. Technology most important in semantic web application is construction of the ontology which contents itself with characteristics of semantic web. Proposed a suitable a method of building web ontology for characteristics or semantic web and web ontology as we compared the existing ontology construction ana ontology construction techniques proposed for web ontology construction, and we analyzed. And modeling old ontology to bases to description logic and the any axiom rule that used an expression way of SWRL, and established inference-based web ontology according to proposed ways. Verified performance of ontology established through ontology inference experiment. Also established an web ontology-based intelligence image retrieval system, to experiment systems for performance evaluation of established web ontology, and present an example of implementation of a semantic web application and utilization. Demonstrated excellence of a semantic web application to be based on ontology through inference experiment of an experiment system.

• Journal of the Korean Society for information Management
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• v.25 no.1
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• pp.149-171
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• 2008

Actually a diffusion of a Semantic Web application and utilization are situations insufficient extremely. Technology most important in Semantic Web application is construction of the Ontology which contents itself with characteristics of Semantic Web. Proposed a suitable a Method of Building Web Ontology for characteristics of Semantic Web and Web Ontology as we compared the existing Ontology construction and Ontology construction techniques proposed for Web Ontology construction, and we analyzed. And modeling did Ontology to bases to Description Logic and the any axiom rule that used an expression way of SWRL, and established Inference-based Web Ontology according to proposed ways. Verified performance of Ontology established through Ontology inference experiment. Also, established an Web Ontology-based Intelligence Image Retrieval System, to experiment systems for performance evaluation of established Web Ontology, and present an example of implementation of a Semantic Web application and utilization. Demonstrated excellence of a Semantic Web application to be based on Ontology through inference experiment of an experiment system.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.255-266
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• 2009

The Semantic Web has appeared to handle information on the web effectively, which has been increasing very rapidly since the web emerged. It refers to the machine, which understands the meaning of information on behalf of human and handles the information automatically that users want. The objective of this research is to help people to understand the Semantic Web as the next generation web by surveying the applications of Semantic Web technologies. To that end, this paper suggests a system framework which can be used for analyzing most of the Semantic Web applications. Using the suggested the framework, the recent Semantic Web applications are analyzed. And then research challenges are discussed to be overcome for the practical Semantic Web based on the analyzed results.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.95-100
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• 2009

The Semantic Web is an evolving extension of the WWW in which the semantics of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. The sementic web relied on the ontologies that structure underling data for the purpose of comprehensive and transportable machine understanding. The Semantic Web relies on the ontologies that structure underlying data for the purpose of comprehensive and transportable machine understanding. And recommendation systems have been developed as a solution to the abundance of choice people face in many situations. This paper shows that the new recommendation method is suitable for effective recommendation on the semantic web. We present a new procedure for improving the effective recommendation by using the levelized context ontology. Our experimental results also confirm that our method has good recommendation time. Our proposed method can be generalized to fit other application domains.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.398-403
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• 2005

Web is a part of our daily life and now it is ready to become a new Web called Semantic Web. The Semantic Web does not require entire human process for collecting and processing the information on the Web. Automation of efficient information retrieval, new knowledge generation, exact web service providing and so on are become possible through the Semantic Web. In this paper, the main idea of the Semantic Web and its application areas are discussed.

• Journal of the Korean Society for information Management
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• v.21 no.1
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• pp.187-207
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• 2004

Recently there has been a growing interest in the investigation and development of the next generation web - the Semantic Web. From the perspective of a information science, the next generation web - Semantic Web is a metadata initiative. It is reason that one of important stage of Semantic Web Construction is adding formal metadata that describes a Web resource's content and so people can find easy material using metadata. In this paper, 1 designed new application profile metadata architecture as a way to serve as interoperability between various open digital libraries using different information architecture in Semantic Web environment. Based on new application profile metadata architecture, 1 developed union metadata automatic generation and union search algorithm to integrate heterogeneous huge-scale metadata in the open digital library.

• Journal of Information Science Theory and Practice
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• v.2 no.4
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• pp.61-76
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• 2014

The exponential growth of information on the web far exceeds the capacity of present day information retrieval systems and search engines, making information integration on the web difficult. In order to overcome this, semantic web technologies were proposed by the World Wide Web Consortium (W3C) to achieve a higher degree of automation and precision in information retrieval systems. Semantic web, with its promise to deliver machine understanding to the traditional web, has attracted a significant amount of research from academia as well as from industries. Semantic web is an extension of the current web in which data can be shared and reused across the internet. RDF and ontology are two essential components of the semantic web architecture which support a common framework for data storage and representation of data semantics, respectively. Ontologies being the backbone of semantic web applications, it is more relevant to study various approaches in their application, usage, and integration into web services. In this article, an effort has been made to review the research work being undertaken in the area of design and development of ontology supported information systems. This paper also briefly explains the emerging semantic web technologies and standards.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.253-269
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• 2008

In this paper, we present an application called Semantic Search which is built on different supporting technologies and is designed to improve traditional web searching. The Semantic Search is becoming crucial challenges on semantic web. The assessment and the implementation of the research on Semantic Search is not full-fledged whereas its research is highly interested. Also there exists only little research that offers a commercial use Semantic Search System that should be taken into the account in measuring the effectiveness of a Semantic Search System. This paper proposes an implementation and evaluation for the Semantic Search System. Firstly, we built Semantic Search System which includes a case of development and it's procedure. Secondly, We presented the measurement of our Semantic Search System's effectiveness. Finally, the evaluation offers useful implications to the researchers and practitioners to improve the research level to the commercial use.

• Journal of Internet Computing and Services
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• v.11 no.4
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• pp.107-117
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• 2010

The feature models representing the common and variable concepts among the software products and the feature configurations generated by selecting the features to be included in the target product are the essential components in the software product lines methodology. Although the researches on the formal semantics and reasoning of the feature models and feature configurations are in progress, the researches on feature model ontologies and feature configuration validation using the semantic web technologies are yet insufficient. This paper defines the formal semantics of the feature models and proposes a feature configuration validation technique based on ontology and semantic web technologies. OWL(Web Ontology Language), a semantic web standard language, is used to represent the knowledge in the feature models and the feature configurations. SWRL(Semantic Web Rule Language), a semantic web rule languages, is used to define the rules to validate the feature configurations. The approach in this paper provides the formal semantic of the feature models, automates the validation of feature configurations, and enables the application of various semantic web technologies, such as SQWRL.