Abstract is missing.
- IntroductionStefan Biffl, Marta Sabou. 1-13 [doi]
- Multi-Disciplinary Engineering for Industrie 4.0: Semantic Challenges and NeedsStefan Biffl, Arndt Lüder, Dietmar Winkler. 17-51 [doi]
- An Introduction to Semantic Web TechnologiesMarta Sabou. 53-81 [doi]
- The Engineering Knowledge Base ApproachThomas Moser. 85-103 [doi]
- Semantic Modelling and Acquisition of Engineering KnowledgeMarta Sabou, Olga Kovalenko, Petr Novák. 105-136 [doi]
- Semantic Matching of Engineering Data StructuresOlga Kovalenko, Jérôme Euzenat. 137-157 [doi]
- Knowledge Change Management and Analysis in EngineeringFajar Juang Ekaputra. 159-178 [doi]
- Semantic Data Integration: Tools and ArchitecturesRichard Mordinyi, Estefanía Serral, Fajar Juang Ekaputra. 181-217 [doi]
- Product Ramp-up for Semiconductor Manufacturing Automated Recommendation of Control System SetupRoland Willmann, Wolfgang Kastner. 219-255 [doi]
- Ontology-Based Simulation Design and IntegrationRadek Sindelár, Petr Novák. 257-277 [doi]
- Semantic Web Solutions in EngineeringMarta Sabou, Olga Kovalenko, Fajar Juang Ekaputra, Stefan Biffl. 281-296 [doi]
- Semantic Web Solutions in the Automotive IndustryTania Tudorache, Luna Alani. 297-326 [doi]
- Leveraging Semantic Web Technologies for Consistency Management in Multi-viewpoint Systems EngineeringSimon Steyskal, Manuel Wimmer. 327-352 [doi]
- Applications of Semantic Web Technologies for the Engineering of Automated Production Systems - Three Use CasesStefan Feldmann, Konstantin Kernschmidt, Birgit Vogel-Heuser. 353-382 [doi]
- Conclusions and OutlookMarta Sabou, Stefan Biffl. 383-400 [doi]