• Journal of the Korea Society of Computer and Information
• /
• v.5 no.3
• /
• pp.215-219
• /
• 2000

The purpose of this paper is to propose a method to maximize the efficiency of a content-based image retrieval for various kinds of images. This paper discuss the self-adaptivity for the change of image domain and the self-selection of optimal features for query image, and present the efficient method to maximize content-based retrieval for various kinds of images. In this method, a content-based retrieval system is adopted to select automatically distinctive feature patterns which have a maximum efficiency of image retrieval in various kinds of images. Experimental results show that the Proposed method is improved 3% than the method using individual features.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.6 s.44
• /
• pp.27-33
• /
• 2006

In this thesis, we presents the component design and retrieval prototype system which can retrieve the most appropriate component for reuse system. If it used only an abject to reuse unit, it can not understand mutual reaction and can not sustain relationship between objects. Therefore, we porposed clustering component for reuse unit. It makes to understand relationship and reaction between object, so User can retrieve the proper component for reuse system. And porposed retrieval prototype system can select the correct things. it provide 3 facet retrieval environment against ambiguous retrieval definition.

• Journal of the Korean Society for information Management
• /
• v.21 no.2
• /
• pp.235-248
• /
• 2004

For the users of information retrieval systems, natural language query is the more ideal interface, compared with keyword and boolean expressions. This paper proposes a retrieval technique with expanded keyword from syntactically-analyzed structures of natural language query as user input. Through the steps combining or splitting the compound nouns based on syntactic tree traversal of the query, and expanding the other-formed or shorten-formed into multiple keyword, it can enhance the precision and correctness of the retrieval system.

• Journal of the Korean Society for information Management
• /
• v.12 no.1
• /
• pp.87-97
• /
• 1995

Boolean retrieval systems have been most widely used in the area of information retrieval due to easy implementation and efficient retrieval. Conventional Boolean retrieval systems. however, cannot rank retrieved documents in decreasing order of query-document similarities because they cannot compute similarity coefficients between queries and documents. Extended Boolean models such as fuzzy set. Waller-Kraft, Paice, P-Norm and Infinite-One have been developed to provide the document ranking facility. In extended Boolean models, the formulas evaluating Boolean operators AND and OR are an important component to affect the quality of document ranking. In this paper we present mathematical properties of the formulas, and analyse their effect on retrieval effectiveness. Our analyses show that P-Norm is the most suitable for achieving high retrieval effectiveness.

• The Journal of the Korea Contents Association
• /
• v.5 no.3
• /
• pp.159-166
• /
• 2005

The application that the user's contexts are continuously changed over time requires an efficient information retrieval. This paper proposes a new context-differentiated information retrieval method for an efficient ubiquitous service. This enables the rapid retrieval, because of no access to the most detail information at a time. This paper describes the retrieval method, the algorithms and the experimental results.

• Journal of the Korea Society of Computer and Information
• /
• v.9 no.4 s.32
• /
• pp.27-32
• /
• 2004

A XML Document has a structure which may be irregular The irregular document structure is difficult for users to know exactly. In this paper, we propose the XML document model and the structure retrieval method for efficient management and structure retrieval of XML documents. So we use fixed-sized LETID having the information of element, describe the structured information retrieval algorithm for parent and child element to represent the structured information of XML documents. Using this method, we represent the structured information of XML document efficiently. We can directly access to specific clement by simple operation, and process various queries. We expect the method to support various structured retrieval of specific element such as parent, child. and sibling elements.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.05a
• /
• pp.195-198
• /
• 2009

Recently, research in building up semantic web for exchanging information and knowledge is active. To make use of video contents as knowledge on semantic web, semantic-based retrieval should be preceded. At present, retrieval based on consentaneity between metadata and keyword is common used. In this paper, I propose ontolgy establishment which enlarge user participation and add usefulness value and history information. This will facilitate semantic retrieval as well as use of video contents by using collective Intelligence. The proposed ontology schema will allow semantic-based retrieval of video contents on semantic web get higher recall compared to current way of retrieval. Moreover it enables you to make use of various video contents as knowledge.

• Journal of the Korea Convergence Society
• /
• v.12 no.3
• /
• pp.53-59
• /
• 2021

When using Medical Information Retrieval services, a typical retrieval method is to use the Anatomic Therapyutic Chemical Classification (ATC) code. Traditional ATC code-based medical information retrieval is very useful for single ingredient product retrieval with single ingredient. However, in the case of complex, retrieval errors often occur. The cause of this problem is that ATC code-based retrieval proceeds by pattern matching ATC code.In this work, we design the mapping scheme based on ATC code by analyzing the requirement scenarios for retrieval based on main ingredient in ATC code-based retrieval. the mapping scheme based on ATC is a schema that stores the ATC code of the complex and all the ATC code of the single agent included in the complex. ATC code-based retrieval using this schema retrieves a complex as ingredient of a single ingredient product, thus having higher accuracy than existing methods. the mapping scheme based on ATC is expected to increase the efficiency of doctors' prescription of patients and increase the accuracy of drug safety use services.

• Journal of the Korean Society for information Management
• /
• v.27 no.1
• /
• pp.61-77
• /
• 2010

Blogs are now one of the major information resources on the web. The purpose of this study is to enhance the performance of blog retrieval by means of user assigned tags and trackback information. To this end, retrieval experiments were performed with a dataset of 4,908 blog pages together with their associated trackback URLs. In the experiments, text terms, user tags, and network centrality values based on trackbacks were variously combined as retrieval features. The experimental results showed that employing user tags and network centrality values as retrieval features in addition to text words could improve the performance of blog retrieval.

• Journal of the Korea Society of Computer and Information
• /
• v.10 no.4 s.36
• /
• pp.155-164
• /
• 2005

WThe education information have been increased. Accordingly, the necessary of developing on education information metadata standards has been increased. By the reason, the Korea Education & Research Information Service developed KEM(Korea Educational Metadata) 2.0. And MPEG-7 was developed to describe metadata of multimedia data. In this paper, we developed a education information image retrieval system. This system used XML schema to accept education information image metadata. We integrated contents-based retrieval and a semantic-based retrieval to overcome there problems that content-based retrieval system can not support semantic-based retrieval and a semantic-based retrieval can not support content-based retrieval. As a results, we expect to handle metadata more efficiently.