Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 126-140 |
| Number of pages | 15 |
| Journal | GI_Forum - Journal for Geographic Information Science |
| Volume | 2017 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2017 |