Time:
Thursday, September 13, 2018 - 11:45 to 12:45
Talks
For semiconductor manufacturers it is important to be able to track and trace the physical movement and status of products as they travel through the supply chain. In the event of quality issues, the ability to quickly and accurately identify a defective product, analyze the root cause and contain impacted parts is critical. At NXP Semiconductors each product is traced, by manufacturing lot, through the manufacturing process and warehouse and distribution. Each manufacturing lot’s history is then available for analysis and containment.
John Walker
Semaku
http://www.semaku.com
John Walker is a company director of Semaku B.V., a leading company in linked data technologies with deep insights in the Semiconductor and other manufacturing industries. John is originally from the UK, but has been living and working in the Netherlands since 2000.
Engineering and production in aviation inherently have a disproportionally high documentation requirement – both regarding quantity and quality. Technical writers need software support for the integration of (references to) preexisting textual documents and structured data, e.g. CAD drawings and FEM data from engineering. Thus, these recommendations disburden recurring repetitive documentation tasks.
Alexander Heußner
Dr.
Bauhaus Luftfahrt e.V.
https://www.bauhaus-luftfahrt.net/
Alexander has long-standing experience in working on the creative feedback loop from practical problems in industry over ground-breaking, fundamental research to innovative, pragmatic solutions. He has a background in computer science fundamentals, software technologies, formal languages, knowledge representation and ontology, among others. He recently joined Bauhaus Luftfahrt e.V.
Patrick Sona
CID
https://cid.com/
Patrick has been project lead in semantic text processing related projects for more than five years. He studied computer science and started as software developer in public key cryptography and smart card business. 2013 he joined the CID GmbH as project lead. Here he collected experience about semantic text processing, big data driven analytics, natural language processing and much more.