Semantically based visual tracking of engineering tasks in automotive product lifecycle
Authors: 
Selver Softic, 
Manfred Rosenberger, Andrea Denger, Johannes Fritz, 
Alexander StockerAuthors Info & Claims
Article No.: 36, Pages 1 - 4
Abstract
Stakeholders in specific disciplines, departments, companies and at different locations within the automotive production process save their results in different data management systems. Project management is currently done separately and does not interact with engineering objects. Our work aims on providing flexible data insights on collaboration tasks between participants within the product lifecycle. We applied semantic technologies RDF, OWL and SPARQL with a specific domain related ontology PROTARES (PROject TAsks RESources) to interlink, describe and query domain knowledge about the product. As proof of concept a software prototype is introduced, which resides on the domain ontology and allows knowledge based browsing and visualisation of specific aspects within the production process. With this example we want to demonstrate, how semantically driven customized views can support monitoring and reflection of engineering tasks and decision making within the early phases of the automotive product lifecycle.
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September 2013
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- Graz University of Technology: Graz University of Technology
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Association for Computing Machinery
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Published: 04 September 2013
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i-Know '13
i-Know '13: 13th International Conference on Knowledge Management and Knowledge Technologies
September 4 - 6, 2013
Graz, Austria
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