• Journal of the Korean Society for information Management
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• v.17 no.4
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• pp.47-65
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• 2000

This study aims lo enhance the perfor~nance 01 concept-based information retr~eval through the use of the lraditional thesaurus which, clearly delmes relalions among terms. To achwe lhls, thc study purports to construcl relation-value-based, relalion-bad, and inlegated kumwledge bases tluough the use ol ihc lhcsau~ub. To cornpale and a~alyze retrieval perlor~nance among knowledge bases, two methods weue al~plied. Sequential bnb algorithm is ap~lied to the I-clation-ualue-based and intzgralcd knowledge base while heuristic bnb algorithm is applied to the relal~on-based knowlcdgc base.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.4
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• pp.133-156
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• 1999

The purpose of this paper is to show how conceptual data modeling can enhance current information retrieval (IR) systems. The conceptual database design provides for: 1) data mining capability to discover new knowledge based on the relationships between entities, and 2) integrating current separate databases into one IR system (e.g., integrating ISI Citation, a thesaurus, and bibliographic databases into one retrieval system) . Further, as new user requirements are unfolded, modifications of IR systems based on conceptual data modeling will be much easier to make than they were in the current IR systems because conceptual modeling facilitates flexible modifications. The enhanced Entity-Relationship (ER) model was employed in this study to develop conceptual schemas of IR data.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.43-57
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• 2015

In this thesis was conducted to propose a method for efficient information retrieval using concept lattices. Since this thesis designed a new system based on ordinary concept lattices, it has the same approach method as ontology, but this thesis proposes new concept lattices to be used by establishing collaborative relations between objects and concepts that users are likely to search information more efficiently. The system suggested by this thesis can be summarized as below. Firstly, this system leads to a collaborative search by using Three kinds of concepts, such as keyword concept lattices, which focus on input key words, expert concept lattices recommended by experts and theme concept lattices, and based on these 3 concept lattices, it will help users search information they want more efficiently. Besides, as the expert concept and the keyword concept become combined, further providing users with the frequency of keyword and the frequency of category, this system can function to recommend key words related to search words entered by users. Another function of this system is to inform users of key words and categories used in users' interested themes by using the theme concept lattices. Secondly, when there is not keyword entered by a user, it is possible for users to achieve the goal of search through the secondary search when this system provides them with key words related to the input keyword. Thirdly, since most of the information is managed while being dispersed, such dispersed and managed information not only has different expression methods but changes as time goes. Accordingly, By using XMDR for efficient data access and integration of distributed information, this thesis proposes a new technique and retrieval system to integrate dispersed data.

• Journal of the Korean Society for Library and Information Science
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• v.34 no.4
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• pp.69-95
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• 2000

The purpose of this study is to derive system design factors and to analyze user needs of university library for design of user-centered information retrieval system. The result of this study can be summarized as follows: First, the concept of 'users-centered' in digital environment where the supporting role of intermediaries is growing bigger than before in the interaction with remote information retrieval system can be defined as the new concept of 'expansion of knowledge'. Second, 6 kinds of system design factors derived for user-centered information retrieval system design of the university libraries. Third, The user needs that examined and analyzed through the questionnaires made by user-centered approach according to the design factors should be considered for system design.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.81-84
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• 2002

멀티미디어 분야가 급성장하면서 좀더 효율적으로 멀티미디어 자료의 저장, 처리, 검색을 위한 연구가 진행되고 있다. 특히, 내용기반 시각정보 검색에 있어 지능형 시스템(Intelligent System)을 접목하여 의미적 접근을 시도하는 I-CBIR(Intelligent-Content Based Image Retrieval)에 관한 연구가 진행되고 있다. 또한, 내용기반 이미지검색 시스템에 온톨로지(Ontology)의 이론을 적용하여 이미지에 의미를 부여하여 개념적 검색이 가능하도록 노력하고 있다. 이러한 연구에서 적용된 대형의 온톨로지는 이미지 검색 시스템에 적합하지 않게 너무 방대한 정보를 가지고 있으며, 또한 시대적 변화에 대응하지 못하여 I-CBIR 시스템에서 그 효율성을 제대로 발휘하지 못하고 있다. 따라서 본 논문에서는 많은 대형 온톨로지 중에서 WordNet을 선택하여, WordNet의 구축 방법에 기반한 자동차(Car)에 대한 도메인 온톨로지(Domain Ontology)를 구축해보고, 구축된 도메인 온톨로지를 적용함으로써 더 향상된 I-CBIR 시스템이 되도록 하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.383-385
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• 2003

본 논문에서는 개념 기반 검색엔진 시스템(Concept-based Search Engine System)의 검색 정확도를 향상시키기 위한 방법으로 MeSH를 이용하였다. MeSH는 Medical Subject Headings의 약자로서 MEDLINE 논문의 원활한 검색을 위하여 주제어를 코드화한 것으로 이를 개념 그래프의 시소러스로 사용하여 개념 그래프의 가장 중요한 부분인 개념 추출의 정확성을 보장하도록 하였다. 본 논문은 2003년 MeSH의 Descriptor Data의 Term 항목을 사용하여 개념과 관련이 있는 유의어를 추출했다. 추출된 유의어로 개념 그래프를 구성한 것과 문서 내에서의 단어 빈도수에 의하여 개념 그래프를 구성한 것의 검색 결과를 비교한 결과 MeSH 를 시소러스로 사용하여 개념 그래프를 구성한 것이 훨씬 더 정확한 결과를 내는 것을 확인할 수 있었다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10b
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• pp.333-335
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• 1998

현재의 키워드 입력방식의 정보검색 서비스는 사용자에게 다량의 정보검색 결과를 제공하여 사용자가 다시 정보를 선별하는 어려움을 준다. 본 논문은 사용자가 원하는 정보를 검색하고, 검색된 수많은 정보를 퍼지개념을 적용한 자동분류 알고리즘을 이용하여 정보를 제공하는 SDI(Selective Dissemination of Information)서비스를 설계한다. 즉, SDI서비스는 사용자가 User Profile에서 원하는 정보검색 분야에 대한 정보를 입력하면, 인터넷에 산재된 정보를 로봇을 이용하여 검색하고, 퍼지개념을 이용한 자동분류 알고리즘으로 검색된 정보를 자동 분류 및 선별하여 사용자에게 자동으로 정보를 제공하는 서비스이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.453-460
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• 2013

This study proposes a framework that enables efficient integration and usage of enterprise data using semantic based concept net. Integration of enterprise information that has been increasing geometrically in cloud environment. The concept net is very similar in approaching way to existing ontology. However, it builds correlation between object and concept to help user's information integration retrieval more efficiently. In this study, concept nets are divided into 3 kinds and are applied to the proposed framework independently. The concept net in this study is built in ontology format based on master information concept net, keyword concept net and business process concept net. This concept net enables retrieval and usage of data based on correlation among data according to user's request. Then, through combination of master information concept and keyword concept, it provides frequency trace of keyword and category thus improving convenience and speed of retrieval.

• The Transactions of the Korea Information Processing Society
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• v.5 no.12
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• pp.3025-3035
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• 1998

In this paper, we describe the design and implementationof COIRS COncept,based Image Retricval System). It differs from extant content-based image retrieval systems in that it enables users to query based on concepts- it allows users to get images concepmally relevant. A concept is basically an aggregation of promitive objects in an image. For such a cencept based image retrieval functionality. COIRS aglopts an image descriptor called triple and includes a triple thesaurus used for capturing concepts. There are four facilities in COIRS: a visual image indeses a triple thesaurus, an inverted fiel, and a user query interface. The visnal image indeser facilitates object laeling and the percification of positionof objects. It is an assistant tool designed to minimize manual work when indexing images. The thesarrus captires the concepts by analyzing triples, thereby extracting image semantics. The triples are then for formalating queries as well as indexing images. The user query interiare enables users to formulate...

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.1
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• pp.96-100
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• 2008

An ontology provides an explicit specification of concepts and relations on information extracted from database or on human knowledge. Using an ontology, The information can be reconstructed according to semantic relations. In this paper. IT-People Event Ontology is constructed using people information extracted from web portals. IT-People Event Ontology represents constant information and time-temporal information on people. A system using this ontology outputs the well-organized reconstructed information on a specific individual in interest, and then the reconstructed information is suitable for users' demand.