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2017 | OriginalPaper | Buchkapitel

Realizing an RDF-Based Information Model for a Manufacturing Company – A Case Study

verfasst von : Niklas Petersen, Lavdim Halilaj, Irlán Grangel-González, Steffen Lohmann, Christoph Lange, Sören Auer

Erschienen in: The Semantic Web – ISWC 2017

Verlag: Springer International Publishing

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Abstract

The digitization of the industry requires information models describing assets and information sources of companies to enable the semantic integration and interoperable exchange of data. We report on a case study in which we realized such an information model for a global manufacturing company using semantic technologies. The information model is centered around machine data and describes all relevant assets, key terms and relations in a structured way, making use of existing as well as newly developed RDF vocabularies. In addition, it comprises numerous RML mappings that link different data sources required for integrated data access and querying via SPARQL. The technical infrastructure and methodology used to develop and maintain the information model is based on a Git repository and utilizes the development environment VoCol as well as the Ontop framework for Ontology Based Data Access. Two use cases demonstrate the benefits and opportunities provided by the information model. We evaluated the approach with stakeholders and report on lessons learned from the case study.

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Vorheriges Kapitel Automatic Query-Centric API for Routine Access to Linked Data

Nächstes Kapitel Personalizing Actions in Context for Risk Management Using Semantic Web Technologies

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Titel: Realizing an RDF-Based Information Model for a Manufacturing Company – A Case Study
verfasst von: Niklas Petersen
Lavdim Halilaj
Irlán Grangel-González
Steffen Lohmann
Christoph Lange
Sören Auer
Verlag: Springer International Publishing
Buch: The Semantic Web – ISWC 2017
Print ISBN: 978-3-319-68203-7

Electronic ISBN: 978-3-319-68204-4

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-68204-4_31

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