Spatially-Linked Manufacturing Data to Support Data Analysis

Stefan Schabus, Johannes Scholz

Research output: Contribution to journalArticleResearchpeer-review

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 languageEnglish
Pages (from-to)126-140
Number of pages15
JournalGI_Forum - Journal for Geographic Information Science
Volume2017
Issue number1
DOIs
Publication statusPublished - 2017

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