How to feed a chatbot with your documentation content
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14. November
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09:00
- 09:45
AM
(CET)
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C6.2
Contents
This presentation introduces a content supply chain to make XML documentation content accessible to a chatbot. A typical use-case scenario would be using the chatbot for troubleshooting, having the chatbot respond with the correct solution(s) extracted directly from the XML source files. The solution was developed as part of a master’s thesis, which also included tests of the user acceptance for this kind of user assistance.
Takeaways
How to make XML documentation content accessible to chatbots; how well chatbots are received by users in troubleshooting scenarios; what makes a documentation chatbot better than for example ChatGPT.
Prior knowledge
Knowledge of XML/DITA, usage of metadata, and rough understanding of chatbots could be helpful.
Speakers
Biography
Mette grew up in both England and Germany and therefore has always been interested in languages and cultures. During her Bachelor studies in Translation Studies for IT she started working for a company specialising in speech automation where her interest in chatbots grew. For her Master’s degree in International and Technical Communication she developed a chatbot for documentation content. She now works at parson as a Technical Communicator.
Mette grew up in both England and Germany and therefore has always been interested in languages and cultures. During her Bachelor studies in Translation Studies for IT she started working for a company specialising in speech automation where her interest in chatbots grew. For her Master’s degree in International and Technical Communication she developed a chatbot for documentation content. She now works at parson as a Technical Communicator.
Biography
Jörg has been working in multiple roles for different CCMS solution providers for more than 20 years. During that time he has helped defining and implementing CCMS solutions in several verticals such as manufacturing, automotive, aerospace & defence - and also pharma & finance. Since 2013, Jörg is working for RWS (formerly SDL) as Solution Architect. In 2020 he got certified as Knowledge Engineer by the Semantic Web Company. Jörg is living and working out of Munich in Germany.
Jörg has been working in multiple roles for different CCMS solution providers for more than 20 years. During that time he has helped defining and implementing CCMS solutions in several verticals such as manufacturing, automotive, aerospace & defence - and also pharma & finance. Since 2013, Jörg is working for RWS (formerly SDL) as Solution Architect. In 2020 he got certified as Knowledge Engineer by the Semantic Web Company. Jörg is living and working out of Munich in Germany.
