How easy is it to learn a controlled natural language for building a knowledge base?

Williams, Sandra; Power, Richard and Third, Allan (2014). How easy is it to learn a controlled natural language for building a knowledge base? In: Proceedings of the Fourth Workshop on Controlled Natural Language, Lecture Notes in Computer Science, Springer International Publishing AG, pp. 20–32.

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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