• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.63-71
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• 2011

The current Web portal sites provide significant keywords with high popularity or importance; specifically, user-friendly services such as tag clouds and associated word search are provided. However, in general, since news articles are classified only with their date and categories, it is not easy for users to find other articles related to some articles while reading news articles classified with categories. And the conventional associated keyword service has not satisfied users sufficiently because it depends only upon user queries. This paper proposes a way of searching news articles by utilizing the keywords tightly associated with users' queries. Basically, the proposed method discovers a set of keyword association patterns by using the association rule mining technique that extracts association patterns for keywords by focusing upon sentences containing some keywords. The method enables users to navigate the space of associated keywords hidden in large news articles.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2721-2727
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• 2009

This paper is construction on ontology_based mobile Customer Relationship Management system for efficient customer information management and analysis of medicine center. As using ontology technique, we support medicine service at grade according to quality and healthy of the customer based customer information. Proposed CRM system provides medical information and seminars to whom are necessity. For this, priority retrieval and similarity retrieval are able to be in the personnel order and the regional.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.3
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• pp.171-185
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• 2009

This study analyzed the characteristics and patterns of tags in cultural heritage collections. Works of art were assembled to be tagged, 100 taggers were deployed, and tagging encourged. The gathered tags were analyzed in terms of general patterns, tagging's functions, and usefulness for information access. The results can be used to improve the access of works of art.

• Journal of The Geomorphological Association of Korea
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• v.17 no.2
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• pp.15-28
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• 2010

This study aims at the exploration of usefulness of traditional knowledge reflected in the place names. This study is useful and pragmatic for the establishment of disaster prevention measures from the analyses of disaster database, which shows the regional distribution and historical changes of disaster characteristics through history. The construction and categorization of disaster-related place names are based on historical maps and literatures on place names. One hundred twenty eight disaster-related place terminologies are selected based on disaster causes and possibilities. Design of field structures and category codes for the disaster-related place names has been proposed and the construction of disaster-related place names from the six sources has been completed.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.123-142
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• 2012

To develop an intelligent search engine to help users retrieve information effectively, various methods, such as Semantic Web, have been used, An effective retrieval method of such methods uses ontology technology. In this paper, we built National R&D ontology after analyzing National R&D Information in NTIS and then implemented National R&D Knowledge Map to represent and retrieve information of the relationship between object and subject (project, human information, organization, research result) in R&D Ontology. In the National R&D Knowledge Map, center-node is the object selected by users, node is subject, subject's sub-node is user's favorite query in National R&D ontology after analyzing the relationship between object and subject. When a user selects sub-node, the system displays the results from inference engine after making query by SPARQL in National R&D ontology.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2001.10a
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• pp.36-39
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• 2001

최근 web을 기반으로 한 인터넷과 관련한 기술은 선박설계 과정에서 설계 생산성을 향상시키기 위해 새로운 설계 패러다임에 도입되고 있다. Web을 기반으로 한 선박설계는 분산된 설계환경에서 여러 설계 전문가들이 함께 참여할 수 있게 함으로써 설계정보를 동시에 공유할 수 있도록 하며, 원격지에서도 설계자가 원하는 자료를 검색할 수 있도록 해준다. 현재 소형선박을 설계하는 현장에서는 데이터 베이스가 효율적으로 구축되어 있지 않기 때문에 설계 작업시 수작업이 반복적으로 이루어지고 있다. 이러한 수작업의 반복은 설계 과정에서 에러를 발생시키고 각 설계 단계별로 발생하는 설계 데이터의 손실로 인해 생산성을 저하시키는 요인으로 작용될 수 있다. 본 연구에서는 web 기반을 통한 선박기본계산 서비스를 제공함으로서 설계정보들을 웹 브라우저를 통해서 소형선박을 건조하는 조선소나 설계 용역을 담당하는 설계사무소와 같은 원격지에서도 필요한 데이터를 검색할 수 있도록 제시하였다.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.2
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• pp.183-196
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• 2016

The academic journal is an important medium carrying newly discovered knowledge in various disciplines. It is desirable to consider visualization of journal and article information in order to make the information more insightful and effective than text-based information. In this study, visualization service platform of journal and article information is developed. TagCloud were included in both Infographics of journal and article. Each word in the TagCloud is inter-linked with DBPedia using Linked Open Data (LOD) technique.

• Journal of Korea Spatial Information System Society
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• v.6 no.2 s.12
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• pp.23-37
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• 2004

Location Based Services(LBSs) in mobile environments become very popular recently. For efficient LBSs, spatial database management systems must need a spatial indexing scheme such as R-trees in order to manage the huge spatial database. However, it may need unnecessary disk accesses since it needs to access objects which are not actually concerned to user's location-based queries. In this paper, to support the location-based queries efficiently, we propose a CLR-tree(Cell Leveling R-tree) in which a dynamic cell is built up within the minimum bounding rectangle of R-trees' node. The cell level of nodes is compared with the query's cell level in location-based query processing and determines the minimum search space. Also, we propose the insertion, split, deletion, and search algorithms for CRL-trees. From the experimental results, we see that a CLR-tree is able to decrease $5{\sim}20%$ of disk accesses from those of R-trees. So, a CLR-tree can be used for fast accessing spatial objects to user's location-based queries in LBSs.

• The KIPS Transactions:PartD
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• v.18D no.4
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• pp.225-236
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• 2011

Various applications of LBS (Location Based Services) are being developed to provide the customized service depending on user's location with progress of wireless communication technology and miniaturization of personalized device. To effectively process an amount of vehicles' location data, LBS requires the techniques such as vehicle observation, data communication, data insertion and search, and user query processing. In this paper, we propose the historical location index, GIP-FB (Group Insertion tree with Flexible Buffer Node) and the flexible buffer node technique to adjust the cost of data insertion and search. the designed GIP+ based index employs the buffer node and the projection storage to cut the cost of insertion and search. Besides, it adjusts the cost of insertion and search by changing the number of line segments of the buffer node with user defined time interval. In the experiment, the buffer node size influences the performance of GIP-FB by changing the number of non-leaf node of the index. the proposed flexible buffer node is used to adjust the performance of the historical location index depending on the applications of LBS.

• Journal of KIISE:Databases
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• v.37 no.1
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• pp.50-55
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• 2010

Duplicate documents in blog service system are one of causes that deteriorate both of the quality and the performance of blog searches. Unlike the WWW environment, the creation of documents is reported every time in blog service system, which makes it possible to identify the original document from its duplicate documents. Based on this observation, this paper proposes a novel method for detecting duplication documents in blog service system. This method determines whether a document is original or not at the time it is stored in the blog service system. As a result, it solves the problem of duplicate documents retrieved in the search result by keeping those documents from being stored in the index for the blog search engine. This paper also proposes three indexing methods that preserve an accuracy of previous work, Min-hashing. We show most effective indexing method via extensive experiments using real-life blog data.