• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1997.06a
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• pp.61-66
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• 1997

For constructing an intelligent multimedia database system for medical diagnosis, we are focusing on two technological points. One is a retrieval algorithm of databases, and the other is a coding algorithm of multimedia contents. For the first, previously we proposed a front-end database preprocessor called“keyword-network”, and in this paper we present its extended model providing an intelligent logical AND searching function especially for medical differential diagnosis. For the second, we present examples of multimedia intellectual coding methods for cardiovascular examination records.

• Journal of Korea Multimedia Society
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• v.7 no.8
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• pp.1017-1024
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• 2004

Ubiquitous system requires intelligent environment and system that perceives context in a proactive manner. This paper describes proactive retrieval method using context patterns in ubiquitous computing. And as the user's contexts change, new information is delivered proactively based on user's context patterns. For proactive retrieval, we extract context patterns based on sequential pattern discovery and association rule in data mining. By storing only information to be needed in near future using the context patterns, we solved the problem of speed and storage capacity of mobile devices in ubiquitous computing. We explain algorithms and an example. Several experiments are performed and the experimental results show that our method has a good information retrieval.

• Journal of Korean Library and Information Science Society
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• v.27
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• pp.391-421
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• 1997

Information scientists need not to answer whether future libraries will be a digital library or not, but to answer how they are structured and served effectively to users currently. 'The library with walls' or 'the library as place' need to be existed in the future, but 'digital library without the wall' or 'virtual library' will need to be studied continuously. This study has tried to reveal the existing problems of digital libraries and their future environment after considering the ambiguous concepts of various types of electronic libraries and their efforts for library automation, and the changed information retrieval circumstances during the last 30 to 40 years through a qualitative document study. As a result, the major findings and suggestions are prepared. The library of the future will be a part of local and national cooperative systems, be filled with the intelligent use of old and new technologies, and be able to su n.0, pport both a place with extensive collections and convenient, easy, & free access to remote intellectual resources. Also, the information storage and retrieval (ISAR) to the future library system would easily provide users with any types of data retrieval system by anybody rather than by an expert or a specialist, so called 'A&E retrieval' in the coming 21th century. It will be highly possible that the future society changes to the information marketplace whose data may be recognized as an intangible assets.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.1-13
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• 2004

This paper presents a method for the multilingual product retrieval agent through XML and the semantic networks in e-commerce. Retrieval for products is an important process, since it represents interfaces of the customer contact to the e-commerce. Keyword-based retrieval is efficient as long as the product information is structured and organized. But when the product information is expressed across many online shopping malls, especially when it is expressed in different languages with cultural backgrounds, buyers' product retrieval needs language translation with ambiguities resolved in a specific context. This paper presents a RDF modeling case that resolves semantic problems in the representation of product information and across the boundaries of language domains. With adoption of UNSPSC code system, this paper designs and implements an architecture for the multilingual product retrieval agents. The architecture is based on the central repository model of product catalog management with distributed updating processes. It also includes the perspectives of buyers and suppliers. And the consistency and version management of product information are controlled by UNSPSC code system. The multilingual product names are resolved by semantic networks, thesaurus and ontology dictionary for product names.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.683-689
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• 2003

Information retrieval must be able to search the most suitable document that user need from document set. If foretell document adaptedness by similarity degree about QL(Query Language) of document, documents that search person does not require are searched. In this paper, showed that can search the most suitable document on user's request searching document of the whole space using genetic algorithm and used knowledge-base operator to solve various model's problem.

• Journal of Information Science Theory and Practice
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• v.8 no.3
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• pp.30-46
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• 2020

This research aimed (1) to study and analyze the ability of current information retrieval (IR) systems based on views of information behavior (IB), and (2) to propose a conceptual framework for an IB model based on the collaboration between the system and user, with the intent of developing an IR system that can apply intelligent techniques to enhance system efficiency. The methods in this study consisted of (1) document analysis which included studying the characteristics and efficiencies of the current IR systems and studying the IB models in the digital environment, and (2) implementation of the Delphi technique through an indepth interview method with experts. The research results were presented in three main parts. First, the IB model was categorized into eight stages, different from traditional IB, in the digital environment, which can correspond to all behaviors and be applied to with an IR system. Second, insufficient functions and log file storage hinder the system from effectively understanding and accommodating user behavior in the digital environment. Last, the proposed conceptual framework illustrated that there are stages that can add intelligent techniques to the IR system based on the collaboration perspective between the user and system to boost the users' cognitive ability and make the IR system more user-friendly. Importantly, the conceptual framework for the IB model based on the collaboration perspective between the user and system for IR assisted the ability of information systems to learn, recognize, and comprehend human IB according to individual characteristics, leading to enhancement of interaction between the system and users.

• Journal of Korea Multimedia Society
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• v.7 no.1
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• pp.132-144
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• 2004

With the rapid development of internet technology, the number of internet users and the amount of multimedia information on the internet is ever increasing. Recently, the web sites, such as e-business sites and shopping mall sites, deal with lots of image information. As a result, it is required to support content- based image retrieval efficiently on such image data. This paper proposes an intelligent image retrieval system, which adopts XML, technology. To support object-based col)tent retrieval on product catalog images containing multiple objects, we describe a multi -level metadata structure which represents the local features, global features, and semantics of image data. To enable semantic-based and content-based retrieval on such image data, we design a XML-Schema for the proposed metadata and show how to represent such metadata using XML- documents. We also describe how to automatically transform the retrieval results into the forms suitable for the various user environments, such as web browser or mobile browser, using XSLT The proposed scheme can be easily implemented on any commercial platforms supporting XML technology. It can be utilized to enable efficient image metadata sharing between systems, and it will contribute in improving the retrieval correctness and the user's satisfaction on content-based e-catalog image retrieval.

• Journal of Korean Library and Information Science Society
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• v.40 no.2
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• pp.139-159
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• 2009

This study is to develop knowledge base system for query extension to the user oriented information retrieval. This study has survey the theories of the concept-based information retrieval method and statistic based information retrieval method. In the construction method of knowledge base, the common hypothesis is that the emergence of related term is the frequency of simultaneous emergence of a set of documents. Using the subject index file algorithms and the 'and' operator of boolean logic based on this hypothesis, this study builds the knowledge base. In this research experiment, a subject of knowledge base is education. Using the book of the Introduction to Education, two experimental knowledge base systems is constructed by the different indexing method. One system has constructed by controlled language indexing method, and another system has constructed by natural language indexing method. The performance of two knowledge base system is evaluated.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.414-422
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• 2011

IR (Information Retrieval) systems have the methods that compare relationships between query and index to identify document that may be fit to the user's query keyword. However, the methods usually ignore the importance of relations that are not expressed in the query. Therefore, in this study, we describe how to refine the queries' relation from keyword and to reveal the hidden intent. A useful relationship between query and keyword in IR wth studied and we classified the tion fromrelation. Firstfromall, we did researchmrelated on semantic relationship and ontolhiical researchmin foreign and domestic research, and also analyzed semantic network practices, information retrieval technolhiy, extracted and classified the tion fromrelationships s' relasite's real-world datamin whichminformation retrieval technolhiin fare applied. Next, we souiht to solve the problems occurred frequently i' relasituation that searchers tioically face. I' relacurrent search technolhiy, the mesh searchmresult fare poured by simply comparn ina query with index terms. Therefore, the need for an intelligent search fittn inusers' intent is required. The relationships between two queries to re hiddee and identify relasearcher's intent have to be revealed. By analyzn inthe practical cthes s' queries and classifyn inthem into nine kind fromrelationship tion, we proposed the method to design relation revealn inand role namn i, and we have also illustrated limitations of that methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.35-38
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• 2004

기존의 내용기반 이미지 검색 시스템은 색상, 질감, 모양등과 같은 특징 벡터를 추출하여 검색하는 방법이 많이 연구되어 왔다. 특히 색상 정보는 이미지를 검색하기 위하여 중요한 정보로 사용되고 있다. 따라서 색상 이미지를 검색하기 위해서 평균 RGB, HSI값을 이용하거나 히스토그램을 이용하는 방식이 많이 사용 되어왔다. 본 논문에서는 사람이 시각적으로 보고 느끼는 색상(H), 채도(S), 명도(I) 방식을 이용한 HSI값을 사용하여 색상 의미를 이용한 지능적 이미지 검색 기법을 제안하고 알고리즘을 설명한다. 색상 의미(Color Semantics)란 사람의 시각적인 특징을 기반으로 칼라 이미지에 적용하여 감성 형용사 기반으로 검색할 수 있는 방법이다. 색상 의미를 이용한 지능적 이미지 검색은 색상-기반 질의(color-based retrieval)를 제공할 뿐만 아니라 인간의 감성이나 느낌에 의한 의미-기반 질의(semantic-based retrieval)방식을 가능하게 한다. 즉, "시원한 이미지" 혹은 "부드러운 이미지"를 검색하는 방식이다. 따라서 사용자의 검색 의도를 보다 정확하게 표현할 수 있으며, 검색의 결과에 대한 만족도를 향상 시킬 수 있다.