首页    期刊浏览 2026年01月03日 星期六
登录注册

文章基本信息

  • 标题:Spatially-Linked Manufacturing Data to Support Data Analysis
  • 本地全文:下载
  • 作者:Stefan Schabus ; Johannes Scholz
  • 期刊名称:GI_FORUM - Journal for Geographic Information Science
  • 电子版ISSN:2308-1708
  • 出版年度:2017
  • 卷号:1
  • 页码:126-140
  • DOI:10.1553/giscience2017_01_s126
  • 出版社:ÖAW Verlag, Wien
  • 摘要:The paper presents a Linked Data approach within a manufacturing organization to foster sharing, reusing, integrating and the collaborative analysis of datasets originating from different business units and heterogeneous data sources. The paper relies on a semiconductor company that serves as case study. The authors elaborate on manufacturing data and their representation in a spatially-enabled graph database, and as Linked Data based on an ontology describing the indoor space and production processes. A graph database enables data sharing as well as the semantic search and retrieval of data utilizing web-based services. The results present the analysis of historic, future and spatio-temporal data as well as the analysis of similarities of semantically-annotated linked manufacturing data.
  • 关键词:linked manufacturing data; semantic annotations; smart manufacturing; graph databases
国家哲学社会科学文献中心版权所有