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Research on User's Query Processing in Search Engine for Ocean using the Association Rules (연관 규칙 탐사 기법을 이용한 해양 전문 검색 엔진에서의 질의어 처리에 관한 연구)

  • 하창승;윤병수;류길수
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.2
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    • pp.8-15
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    • 2003
  • Recently various of information suppliers provide information via WWW so the necessary of search engine grows larger. However the efficiency of most search engines is low comparatively because of using simple pattern match technique between user's query and web document. A specialized search engine returns the specialized information depend on each user's search goal. It is trend to develop specialized search engines in many countries. However, most such engines don't satisfy the user's needs. This paper proposes the specialized search engine for ocean information that uses user's query related with ocean and the association rules in web data mining can prove relation between web documents. So this search engine improved the recall of data and the precision in existent search method.

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XML Document Management System (XML 문서 관리 시스템)

  • Na, Jung-Chan;Lee, Mi-Yeong;Kim, Wan-Seok;Kim, Myeong-Jun;Lee, Gyu-Cheol
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.2S
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    • pp.711-720
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    • 2000
  • BADA-IV/XML is a system designed specifically for managing XML. Documents and is essential to various electronic document applications as a fundamental system. BADA-IV/XML supports all of aspects of data model, querying and manipulation operations for managing XML documents. This paper provides an overview of these aspects of the BADA-IV/XML, as well as defines schema classes for stroing, querying and maintaining hierarchical semantics of multimedia documents and structural semantics of complex documents linked with each other, Also a multimedia document query language is designed and implemented to support essential operations for efficient searching and managing multimedia documents. Finally, some simulation results show the performance of the paged VF(Virtual Fragmentation) model and the search model using element's identifier as compared with a general model.

Mapping Design between XML and Table in Relation Database (XML과 관계 데이터베이스 자료 간의 매핑 설계)

  • Kim Gil-Choon
    • Journal of Digital Contents Society
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    • v.5 no.3
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    • pp.180-186
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    • 2004
  • XML has an essential funtion of dealing with standardized document to be used in all academic areas and industrial areas as well as e-commerce. The transformation of XML data into Relation Database table is also necessary for data search using SQL language. Mapping relation between XMLand Table in Relation Database is required for transformation of XML. This arti치e studies the mapping relation between XML and Relation Database using DTD which enables to check the unity automatically whenever document is read so that it studied mapping design for the transformation of XML data info Relation Database table.

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A Study on Transforming ICT Research Information Service into Semantic Web Environment

  • Song, Jong-Cheol;Moon, Byung-Joo;Jung, Hoe-Kyung
    • Journal of information and communication convergence engineering
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    • v.5 no.3
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    • pp.249-253
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    • 2007
  • The Research on the ICT(Information & Communication Technology) is proposed the category to IT839 strategy by Government. Government is driving to researching on technology about IT839 Strategy. By transforming this category and research information into Semantic Web environment, it is possible to search function utilizing knowledge base and information object by use of TBox and ABox. In this regard, this study proposes technology for generation of Semantic Web Document about ICT Research Information. The ontology is constructed by using category to IT839 Strategy. The features of framework proposed in this study is to have used a skill to directly map Ontology instance and in case of inability of direct mapping, proposed a skill to establish reliable Semantic Web Document by suggesting indirect mapping skill using mechanical study. In addition, it is possible to establish low cost/high quality Semantic Web Document about ICT research information.

XML-based Retrieval System for E-Learning Contents using mobile device PDA

  • Park Yong-Bin;Yang Hae-Sool
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2006.05a
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    • pp.241-248
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    • 2006
  • Web is greatly contributing in providing a variety of information. Especially, as media for the purpose of development and education of human resources, the role of web is important. Furthermore, E-Learning through web plays an important role for each enterprise and an educational institution. Also, above all, fast and various searches are required in order to manage and search a great number of educational contents in web. Therefore, most of present information is composed in HTML, so there are lots of restrictions. As a solution to such restriction, XML a standard of Web document, and its various search functions is being extended and studied variously. This paper proposes a search system able to search XML in E-Learning or var ious contents of non-XML using mobile device PDA.

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Tendency Analysis of Information System for Effectively Management of IMO Document (IMO문서의 효과적 관리를 위한 국내.외 정보시스템 동향 분석)

  • Jang, Woon-Jae;Jang, Seung-Do;Cho, Min-Chul
    • Journal of Korea Ship Safrty Technology Authority
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    • s.33
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    • pp.63-73
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    • 2012
  • The Ministry of Land, Transport and Maritime Affairs(MLTM) constructed the IMO Korea homepage to owned jointly IMO information when establishing a international standard in about marine transport and the shipbuilding, in order to speak for the profit of Korea in IMO and it was double renewal since 2004. But the newly re-opened the IMO Korea homepage is also operated to the level which simply keeps IMO documents because of limited H/W sizes. This study investigated and analyzed the domestic and similar foreign homepages to provide effectively about the IMO informations At the result, these homepages were serviced to the meeting resultants using the various contents such as Semantic search, Thesaurus search, establishment of web accessible etc. Therefore, the existing IMO Korea homepage must be re-constructed as IMO Information Portal Site to provide better information.

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A Study on Change in Perception of Community Service and Demand Prediction based on Big Data

  • Chun-Ok, Jang
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.230-237
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    • 2022
  • The Community Social Service Investment project started as a state subsidy project in 2007 and has grown very rapidly in quantitative terms in a short period of time. It is a bottom-up project that discovers the welfare needs of people and plans and provides services suitable for them. The purpose of this study is to analyze using big data to determine the social response to local community service investment projects. For this, data was collected and analyzed by crawling with a specific keyword of community service investment project on Google and Naver sites. As for the analysis contents, monthly search volume, related keywords, monthly search volume, search rate by age, and gender search rate were conducted. As a result, 10 items were found as related keywords in Google, and 3 items were found in Naver. The overall results of Google and Naver sites were slightly different, but they increased and decreased at almost the same time. Therefore, it can be seen that the community service investment project continues to attract users' interest.

An Opened EDI Document Management System for Electronic Commerces (전자상거래를 위한 개방형 EDI문서 관리 시스템)

  • 정재희;김성진;강현석
    • Journal of Korea Multimedia Society
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    • v.4 no.1
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    • pp.1-12
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    • 2001
  • EDI is being considered as a new way for exchange business data in the form of electronic document, aiming the paperless transaction in business-to-business commerce. However, only a few enterprises select and practically use EDI accepts the closed and complicated method based on exclusive protocol for electronic document exchange. There, second, is insufficient regulation and system that support it. Last, the cost for operating is too high. In this paper, Open EDI Document Information Management System (OEIMS) was designed for solving the problem that mentioned above. We represented exchange document in code from as XML DTD. OEIMS that makers feasible to transfer their document through the web with low cost and, manage and search the information more efficiently and effectively using object-oriented database. We suggest OEIMS that provide efficiency to reposit and manage a system by modulized design of structural feature from EDI unlike other systems.

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XML Document Clustering Based on Sequential Pattern (순차패턴에 기반한 XML 문서 클러스터링)

  • Hwang, Jeong-Hee;Ryu, Keun-Ho
    • The KIPS Transactions:PartD
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    • v.10D no.7
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    • pp.1093-1102
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    • 2003
  • As the use of internet is growing, the amount of information is increasing rapidly and XML that is a standard of the web data has the property of flexibility of data representation. Therefore electronic document systems based on web, such as EDMS (Electronic Document Management System), ebXML (e-business extensible Markup Language), have been adopting XML as the method for exchange and standard of documents. So research on the method which can manage and search structural XML documents in an effective wav is required. In this paper we propose the clustering method based on structural similarity among the many XML documents, using typical structures extracted from each document by sequential pattern mining in pre-clustering process. The proposed algorithm improves the accuracy of clustering by computing cost considering cluster cohesion and inter-cluster similarity.

Semantic Document-Retrieval Based on Markov Logic (마코프 논리 기반의 시맨틱 문서 검색)

  • Hwang, Kyu-Baek;Bong, Seong-Yong;Ku, Hyeon-Seo;Paek, Eun-Ok
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.6
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    • pp.663-667
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    • 2010
  • A simple approach to semantic document-retrieval is to measure document similarity based on the bag-of-words representation, e.g., cosine similarity between two document vectors. However, such a syntactic method hardly considers the semantic similarity between documents, often producing semantically-unsound search results. We circumvent such a problem by combining supervised machine learning techniques with ontology information based on Markov logic. Specifically, Markov logic networks are learned from similarity-tagged documents with an ontology representing the diverse relationship among words. The learned Markov logic networks, the ontology, and the training documents are applied to the semantic document-retrieval task by inferring similarities between a query document and the training documents. Through experimental evaluation on real world question-answering data, the proposed method has been shown to outperform the simple cosine similarity-based approach in terms of retrieval accuracy.