• Title/Summary/Keyword: XML Topic Maps

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A method of Multi-Layer Visualizations for XTM (XTM을 위한 다층적 시각화 방법)

  • 박영조;박호병;조용윤;유재우
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.529-531
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    • 2004
  • 웹 상에는 많은 자원들과 정보들이 존재한다. XML은 이러한 자원들과 정보들을 구조화하기 위해서 개발되었다. XTM(XML Topic Maps)은 XML의 형태로 자원들과 정보들에 의미를 부여할 수 있는 언어이다. XTM은 Topic과 Association을 이용해서 자원들과 정보들이 가진 의미를 표현한다 XTM상에서 나타나는 Topic과 Association은 매우 거대하고 다양하기 때문에 모든 Topic과 Association을 한꺼번에 표현하기 어렵다 또한, 사용자가 수백만개의 Topic과 Association에서 원하는 Topic과 Association을 찾기 어렵다. 따라서 이러한 문제점을 해결하기 위해서 다양한 시각화 방법이 연구되었다. 현재 Topic Maps을 표현할 때 트리, 그래프, 맵 등 하나의 구조를 이용해서 표현한다. 하지만 추상화정도에 따라 시각화 방법은 장ㆍ단점을 지닌다. 본 논문에서는 웹 상의 자원, 정보들과 의미 사이에 여러 계층이 존재하는 다층적 시각화를 제안한다. 각 계층은 독립적인 표현구조로 나타내어 추상화정도에 따라 최적화된 구조를 사용한다. 사용자는 자신이 원하는 Topic과 Association을 점진적 접근을 통해서 원하는 Topic과 Association을 검색할 수 있다. 또한 Topic이 Association의 member처럼 사용되는 경우, 시각적으로 Topic이 표현되면 Topic은 연결된 Association과 직접적인 연결을 갖는다.

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A Study on Design and Analysis of Metadata and Ontology based on Humanities and Social Sciences (기초학문자료 메타데이터 설계 분석 및 온톨로지 적용 방안 연구)

  • Lee, Jung-Yeoun;Kim, Jung-Min;Choi, Suk-Doo;Kim, Lee-Kyum
    • Journal of the Korean Society for Library and Information Science
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    • v.41 no.2
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    • pp.291-316
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    • 2007
  • The purpose of this study is to design metadata model for describing different kinds of concepts, properties, and semantic relationships of result materials of researches. We examine our metadata model to evaluate correctness and efficiency of the model through contents analysis of a constructed database. From the results of examination, we suggest more effective structure of metadata schema. Domain ontology could constructed by the enlarged thesaurus in order to overcome the limitation of the keyword search, therefore we design a philosophy and religion ontology based on subject classification to improve information retrieval and implement it using XML/Topic Maps to improve retrieval functionality of our database.

The Interoperability between RDF/OWL and Topic Maps using the Semantic Wiki (시맨틱 위키를 이용한 RDF/OWL과 토픽맵 사이의 상호운용성)

  • Kim, Hoon-Min;Yang, Jung-Jin
    • The Journal of Society for e-Business Studies
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    • v.12 no.1
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    • pp.123-133
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    • 2007
  • With the emergence of Semantic Web and Web 2.0, the paradigm shift of the Web is on resource-centered services. That is, the focus now moves from having just rich resources to the meta-information of describing the resources. The relevant standards, RDF(Resource Description Language) and Topic Maps, of describing the meta-information are defined and adopted by W3C and ISO respectively. Describing meta-information in such a XML form could be burdensome to participants. Semantic Wiki extended from 1)WikiWikiWeb is proposed to deal with the problem. It enables users to generate RDF meta-information about Wiki pages with simple usages of the grammar. We discuss the way of improving interoperability between Topic Maps-based semantic Wiki papges and RDF-based ones. The method proposed by RDFTM task force is present with the usage of high-level Wiki grammar for facilitating low-level transformation.

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Semi-Automatic Ontology Generation about XML Documents using Data Mining Method (데이터 마이닝 기법을 이용한 XML 문서의 온톨로지 반자동 생성)

  • Gu Mi-Sug;Hwang Jeong-Hee;Ryu Keun-Ho;Hong Jang-Eui
    • The KIPS Transactions:PartD
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    • v.13D no.3 s.106
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    • pp.299-308
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    • 2006
  • As recently XML is becoming the standard of exchanging web documents and public documentations, XML data are increasing in many areas. To retrieve the information about XML documents efficiently, the semantic web based on the ontology is appearing. The existing ontology has been constructed manually and it was time and cost consuming. Therefore in this paper, we propose the semi-automatic ontology generation technique using the data mining technique, the association rules. The proposed method solves what type and how many conceptual relationships and determines the ontology domain level for the automatic ontology generation, using the data mining algorithm. Appying the association rules to the XML documents, we intend to find out the conceptual relationships to construct the ontology, finding the frequent patterns of XML tags in the XML documents. Using the conceptual ontology domain level extracted from the data mining, we implemented the semantic web based on the ontology by XML Topic Maps (XTM) and the topic map engine, TM4J.

A Study of Integrating Ontologies of Heterogeneous Product Classification Schemes Using XML Topic Maps(XTM) (토픽맵을 이용한 이 기종 상품분류체계 온톨로지 통합에 관한 연구)

  • 고세영;김성혁
    • The Journal of Society for e-Business Studies
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    • v.8 no.4
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    • pp.151-166
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    • 2003
  • The Topic Maps paradigm allows people and organizations to integrate and merge heterogeneous products classification systems such as UNSPSC and HS. Merging their product ontologies could combine information about classification scheme for products. We analyzed two product classification schemes for UML modeling and developed an integrated TM for watches . Examples in XTM syntax show how UNSPSC and HS can be integrated by merging their ontology.

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Semi Automatic Ontology Generation about XML Documents

  • Gu Mi Sug;Hwang Jeong Hee;Ryu Keun Ho;Jung Doo Yeong;Lee Keum Woo
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.730-733
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    • 2004
  • Recently XML (eXtensible Markup Language) is becoming the standard for exchanging the documents on the web. And as the amount of information is increasing because of the development of the technique in the Internet, semantic web is becoming to appear for more exact result of information retrieval than the existing one on the web. Ontology which is the basis of the semantic web provides the basic knowledge system to express a particular knowledge. So it can show the exact result of the information retrieval. Ontology defines the particular concepts and the relationships between the concepts about specific domain and it has the hierarchy similar to the taxonomy. In this paper, we propose the generation of semi-automatic ontology based on XML documents that are interesting to many researchers as the means of knowledge expression. To construct the ontology in a particular domain, we suggest the algorithm to determine the domain. So we determined that the domain of ontology is to extract the information of movie on the web. And we used the generalized association rules, one of data mining methods, to generate the ontology, using the tag and contents of XML documents. And XTM (XML Topic Maps), ISO Standard, is used to construct the ontology as an ontology language. The advantage of this method is that because we construct the ontology based on the terms frequently used documents related in the domain, it is useful to query and retrieve the related domain.

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A Study of Designing Semantic Web and Policy Directions for National Knowledge and Information Management (국가지식정보자원관리를 위한 시맨틱웹 설계 및 정책방향에 관한 연구)

  • Oh, Sam-Gyun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.15 no.1
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    • pp.43-67
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    • 2004
  • The purpose of this study is to design semantic web and policy direction for national knowledge and information management. The paper describes all the components needed to accomplish the objective: 1) creating unchangeable and unique identifiers for metadata elements, resources, and ontology classes and properties; 2) recommending active use of XML namespaces; 3) establishing metadata and application profile standards for national integrated searching; 4)developing a metadata registry to promote semantic interoperability among metadata; 5) discussing the need of creating ontologies using W3C OWL and ISO Topic Maps; 6) providing intelligent search services based on metadata; and 7) presenting future directions and tasks of national knowledge and information management.

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A Caching Mechanism for Knowledge Maps (지식 맵을 위한 캐슁 기법)

  • 정준원;민경섭;김형주
    • Journal of KIISE:Computing Practices and Letters
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    • v.10 no.3
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    • pp.282-291
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    • 2004
  • There has been many researches in TopicMap and RDF which are approach to handle data efficiently with metadata. However, No researches has been performed to service and implement except for presentation and description. In this paper, We suggest the caching mechanism to support an efficient access of knowledgemap and practical knowledgemap service with implementation of TopicMap system. First, We propose a method to navigate Knowledgemap efficiently that includes advantage of former methods. Then, To transmit TopicMap efficiently, We suggest caching mechanism for knowledgemap. This method is that user will be able to navigate knowledgemap efficiently in the viewpoint of human, not application. Therefor the mechanism doesn't cash topics by logical or physical locality but clustering by information and characteristic value of TopicMap. Lastly, we suggest replace mechanism by using graph structure of TopicMap for efficiency of transmission.

ONTOLOGY DESIGN FOR THE EFFICIENT CUSTOMER INFORMATION RETRIEVAL

  • Gu, Mi-Sug;Hwang, Jeong-Hee;Ryu, Keun-Ho
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.345-348
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    • 2005
  • Because the current web search engine estimates the similarity of documents, using the frequency of words, many documents irrespective of the user query are provided. To solve these kinds of problems, the semantic web is appearing as a future web. It is possible to provide the service based on the semantic web through ontology which specifies the knowledge in a special domain and defines the concepts of knowledge and the relationships between concepts. In this paper to search the information of potential customers for home-delivery marketing, we model the specific domain for generating the ontology. And we research how to retrieve the information, using the ontology. Therefore, in this paper, we generate the ontology to define the domain about potential customers and develop the search robot which collects the information of customers.

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Design and Implementation of Customer Information Retrieval System based on Semantic Web (시맨틱 웹 기반의 고객 정보 검색 시스템의 설계 및 구현)

  • Hwang Jeong-Hee;Gu Mi-Sug;Lee Hyun-Ah;Ryu Keun-Ho
    • The KIPS Transactions:PartD
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    • v.13D no.4 s.107
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    • pp.525-534
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    • 2006
  • Ontology specifies the knowledge in a specific domain and defines the concepts of knowledge and the relationships between concepts. It is possible to provide the service based on the semantic web through the ontology. Therefore, to specify and define the knowledge in a specific domain, it is required to generate the ontology which conceptualizes the knowledge. Accordingly, to search the information of potential customers for home-delivery marketing of post office, we design the specific domain to generate the ontology based on the semantic web in this paper. And we propose how to retrieve the information, using the generated ontology. We implement the data search robot which collects the information based on the generated ontology. Also, we confirm that the ontology and the search robot perform the information retrieval exactly.