English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62796/95837 (66%)
造访人次 : 3641112      在线人数 : 587
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/91962


    题名: A Semantic Web Approach to Heterogeneous Metadata Integration
    作者: Liao, Shu-hsien
    贡献者: 淡江大學管理科學學系
    关键词: Face recognition;principle component analysis;PCA;two dimensional principle component analysis;2DPCA;discrete cosine transformation;DCT;weighted voting;spatial domain;frequency domain;genetic algorithms
    日期: 2010-02
    上传时间: 2013-08-12 11:25:04 (UTC+8)
    出版者: Springer-Verlag Berlin, Heidelberg
    摘要: Heterogeneous metadata integration is an issue in digital libraries. Mapping is often used for an integrated metadata access, but the implicit
    knowledge and relations embedded in metadata are ignored. This paper aims to present a semantic web approach to heterogeneous metadata integration of biodiversity repositories. First, implicit knowledge and relations in metadata are extracted out and transformed into a shared ontology with expression of RDF and OWL languages. Next the shared ontology plays an inter-lingua role in
    harmonizing heterogeneous metadata to achieve an ontology mapping with a unified view. Then the shared ontology is expressed by SWRL for inference
    query to offer in-depth semantic discovery. Finally four question answering oriented queries are employed to examine the feasibility of the shared ontology for heterogeneous metadata integration.
    關聯: Lecture Notes in Artificial Intelligence 6421, p.205-214
    DOI: 10.1007/978-3-642-16693-8_23
    显示于类别:[管理科學學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    A semantic web approach to heterogeneous metadata integration.pdf336KbAdobe PDF328检视/开启
    index.html0KbHTML32检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈