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Williams, Sandra; Power, Richard and Third, Allan
(2014).
URL: https://www.youtube.com/watch?v=JNJCtOAaHIc&list=P...
Abstract
Recent developments in controlled natural language editors for knowledge engineering (KE) have given rise to expectations that they will make KE tasks more accessible and perhaps even enable non-engineers to build knowledge bases. This exploratory research focussed on novices and experts in knowledge engineering during their attempts to learn a controlled natural language (CNL) known as OWL Simplified English and use it to build a small knowledge base. Participants' behaviours during the task were observed through eye-tracking and screen recordings. This was an attempt at a more ambitious user study than in previous research because we used a naturally occurring text as the source of domain knowledge, and left them without guidance on which information to select, or how to encode it. We have identified a number of skills (competencies) required for this difficult task and key problems that authors face.
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- Item ORO ID
- 40385
- Item Type
- Conference or Workshop Item
- ISBN
- 3-319-10222-2, 978-3-319-10222-1
- Project Funding Details
-
Funded Project Name Project ID Funding Body Not Set Not Set The Open University (OU) - Extra Information
- Co-located with COLING 2014
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2014 Springer International Publishing
- Related URLs
- Depositing User
- Sandra Williams