A Semantic Web Approach to Heterogeneous Metadata Integration
學年 98
學期 2
出版（發表）日期 2010-02-01
作品名稱 A Semantic Web Approach to Heterogeneous Metadata Integration
作品名稱（其他語言）
著者 Liao, Shu-hsien
單位 淡江大學管理科學學系
出版者 Springer-Verlag Berlin, Heidelberg
著錄名稱、卷期、頁數 Lecture Notes in Artificial Intelligence 6421,　p.205-214
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.
關鍵字 Face recognition;principle component analysis;PCA;two dimensional principle component analysis;2DPCA;discrete cosine transformation;DCT;weighted voting;spatial domain;frequency domain;genetic algorithms
語言 en_US
ISSN 0302-9743
期刊性質 國外
收錄於 EI
產學合作
通訊作者 S. H. Liao michael@mail.tku.edu.tw
審稿制度 否
國別 DEU
公開徵稿
出版型式 ,電子版,紙本
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