教師資料查詢 | 類別: 期刊論文 | 教師: 陳亞寧 CHEN, YA-NING (瀏覽個人網頁)

標題:FRBRoo based approach to heterogeneous metadata integration
學年101
學期1
出版(發表)日期2013/01/01
作品名稱FRBRoo based approach to heterogeneous metadata integration
作品名稱(其他語言)
著者Chen, Ya-Ning; Ke, Hao-Ren
單位淡江大學資訊與圖書館學系
出版者Bingley: Emerald Group Publishing Ltd.
著錄名稱、卷期、頁數Journal of Documentation 69(5), pp.623-637
摘要Purpose
– This paper seeks to adopt FRBRoo as an ontological approach to integrate heterogeneous metadata, and transform human-understandable format into machine-understandable format for semantic query.

Design/methodology/approach
– Two cases of use with museum artefacts and literary works were exploited to illustrate how FRBRoo can be used to re-contextualize the semantics of elements and the semantic relationships embedded in those elements. The shared ontology was then RDFized and examples were explored to examine the feasibility of the proposed approach.

Findings
– FRBRoo can play a role as inter lingua aligning museum and library metadata to achieve heterogeneous metadata integration and semantic query without changing either of the original approaches to fit the other.

Research limitations/implications
– Exploration of more diverse use cases is required to further align the different approaches of museums and libraries using FRBRoo and make revisions.

Practical implications
– Solid evidence is provided for the use of FRBRoo in heterogeneous metadata integration and semantic query.

Originality/value
– This is the first study to elaborate how FRBRoo can play a role as a shared ontology to integrate the heterogeneous metadata generated by museums and libraries. This paper also shows how the proposed approach is distinct from the Dublin Core format crosswalk in re-contextualizing semantic meanings and their relationships, and further provides four new sub-types for mapping description language.
關鍵字FRBRoo; Metadata integration; Ontology; Digital libraries; Museums
語言英文
ISSN0022-0418
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別英國
公開徵稿
出版型式紙本
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!