学习受控自然语言以建立知识库有多容易？
How Easy is it to Learn a Controlled Natural Language for Building a Knowledge Base?
摘要：
知识工程（KE）控制自然语言编辑器的最新发展已经引起了人们的期望，他们将使KE任务更容易，甚至使非工程师建立知识库。这项探索性的研究集中在新手和专家在知识工程，在他们试图学习一种受控的自然语言（CNL）被称为OWL简化英语，并用它来建立一个小的知识库。参与者在任务期间的行为通过眼动追踪和屏幕记录进行观察。这是一个比以前的研究更雄心勃勃的用户研究的尝试，因为我们使用一个自然发生的文本作为领域知识的来源，并离开他们没有指导选择哪些信息，或如何编码它。我们已经确定了一些技能（能力）需要这个困难的任务和作者面临的关键问题。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
