• Journal of the Korean Society for Library and Information Science
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• v.35 no.4
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• pp.141-160
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• 2001

This study is to develop a new system for conducting the information retrieval automatically. The system in this study is programmed by Delphi 4.0(PASCAL) and consists of automatic indexing, clustering technique, establishing and expressing term hierarchic relation, and automatic information retrieval technique. Thus this browser system can automatically control all the processes of information searching such as representation, generation and extension of queries and construction of searching strategy and feedback searching.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.1
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• pp.44-48
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• 2004

This paper proposes a phrase-based indexing system based on the phrase. the larger syntax unit than a single keyword. Early information retrieval systems with indexing system matching single keyword is simple and popular. But with single keyword matching it is very hard to represent the exact meaning of documents and the set of documents from retrieval is very large, therefore it can't satisfy the user of the information retrieval systems. Web documents include lots of syntactic errors, the natural language parser with high quality cannot be expected in Web. Partial trees, even not a full tree, from fully bottom-up parsing is still useful for extracting phrases, and they are much more discriminative than single keyword for index. It helps the information retrieval system enhance the efficiency and reduce the processing overhead, too.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2S
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• pp.692-700
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• 2000

As the multimedia application services have been getting various in Internet, need of multimedia database management system which can manage various multimedia information effectively has been increased. The multimedia application generally needs the features to store, manage, retrieve the multimedia data. We need a database management system framework that may be easily integrated with these features. This paper proposes th database management system framework providing the easy integration with various multimedia information retrieval. The framework uses OQL as the retrieval interface, so that user can use it easily. It can be integrated dynamically and easily with various multimedia retrieval method as a loosely coupled system. In addition there is no performance degradation caused in a loosely coupled system.

• Journal of the Korean Society for Library and Information Science
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• v.17
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• pp.49-83
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• 1989

A Full text retrieval system is a natural language document retrieval system in which the full text of all documents in a collection is stored on a computer so that every word in every sentence of every document can be located by the machine. This kind of IR System is recently becoming rapidly available online in the field of legal, newspaper, journal and reference book indexing. Increased research interest has been in this field. In this paper, research on full text databases and retrieval systems are reviewed, directions for research in this field are speculated, questions in the field that need answering are considered, and variables affecting online full text retrieval and various role that variables play in a research study are described. Two obvious research questions in full text retrieval have been how full text retrieval performs and how to improve the retrieval performance of full text databases. Research to improve the retrieval performance has been incorporated with ranking or weighting algorithms based on word occurrences, combined menu-driven and query-driven systems, and improvement of computer architectures and record structure for databases. Recent increase in the number of full text databases with various sizes, forms and subject matters, and recent development in computer architecture artificial intelligence, and videodisc technology promise new direction of its research and scholarly growth. Studies on the interrelationship between every elements of the full text retrieval situation and the relationship between each elements and retrieval performance may give a professional view in theory and practice of full text retrieval.

• Journal of Korea Multimedia Society
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• v.18 no.1
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• pp.52-64
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• 2015

Recently, as the quality of life has been improving, search items in the area of entertainment represent an increasing share of the total usage of Internet portal sites. Information retrieval in the entertainment area is mainly depending on keywords that users are inputting, and the results of information retrieval are the contents that contain those keywords. In this paper, we propose a search method that takes natural language inputs and retrieves the database pertaining to entertainment. The main components of our study are the simple Korean morphological analyzer using case particle information, predicate-oriented token generation, standardized pattern generation coherent to tokens, and automatic generation of the corresponding SQL queries. We also propose an efficient retrieval system that searches the most relevant results from the database in terms of natural language querying, especially in the restricted domain of music, and shows the effectiveness of our system.

• Journal of the Korean Society for information Management
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• v.12 no.2
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• pp.171-192
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• 1995

In this study, we constructed a hypertext-based bibliographic information retrieval system, which is very usell tool to browse and retrieve structured data. We minimized the problem of the use; s disorientation with the keyword retrieval technique. We also presented the potential advantages of this system which could be obtained by implementing it on WWW.

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

• The KIPS Transactions:PartD
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• v.8D no.1
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• pp.88-98
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• 2001

in this paper, we imlemented design pattern retrieval system for efficient managemant and reusability of design patterns. Pattern is conssisted of property information and meta information id used for similarity measurement on classification and retrieval of patterns.Meta information od used for UML modeling of patterns. We classified design patterns with the empirical scope in addition to Gamma's basic classification. also we used E-SARM for retrieval represented UML diagram with pattern meta information, and simulated the environment so as to obtain best result on applying to retrieval of design pattern. This system is able ro resister new patterns through pattern viewer and manages these patterns with property informaiton and meta information. Thus this system supports efficient management of patterns, UML modeling, priority pattern retrieval, higher reusability and reduces pattern selection cost.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11S
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• pp.3219-3228
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• 1999

Currently, car information service systems are lack of providing retrieval service, because most of them aim for buying and selling. Thus, in this paper, we design and implement CISS(Car Information Service System on Internet) to provide efficient retrieval for car information. In CISS, we collect information of cars on Internet and construct the lattice structure for efficient retrieval. And we provide retrieval convenience by implementing of Car Browser that permits gradual refinement of the index term by browsing through lattice graph and that permits keyword-based retrieval.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.11
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• pp.1059-1064
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• 2012

In this paper, some applications of natural language processing techniques for information retrieval have been introduced, but the results are known not to be satisfied. In order to find the roles of some classical natural language processing techniques in information retrieval and to find which one is better we compared the effects with the various natural language techniques for information retrieval precision, and the experiment results show that basic natural language processing techniques with small calculated consumption and simple implementation help a small for information retrieval. Senior high complexity of natural language processing techniques with high calculated consumption and low precision can not help the information retrieval precision even harmful to it, so the role of natural language understanding may be larger in the question answering system, automatic abstract and information extraction.