What You See Is What You Meant: direct knowledge editing with natural language feedback

Many kinds of knowledge-based system would be easier to develop and maintain if domain experts (as opposed to knowledge engineers) were in a position to define and edit the knowledge. From the viewpoint of domain experts, the best medium for defining the knowledge would be a text in natural language; however, natural language input cannot be decoded reliably unless written in controlled languages, which are difficult for domain experts to learn and use. WYSIWYM editing is an alternative solution in which the texts employed to view and edit the knowledge are generated not by the user but by the system. The user can add knowledge by clicking on `anchors' in the text and choosing from a list of semantic alternatives; each choice directly updates the knowledge base, from which a new text is then generated. 1 KNOWLEDGE EDITING Many applications require editing of information expressed in a knowledge representation formalism. Expert systems are an obvious example; others are systems for...

• Type: Conference
• Year: 1998
• Where: ECAI
• Authors: Richard Power, Donia Scott, Roger Evans
• Keywords: Artificial Intelligence, Domain Expert, ECAI 1998, Knowledge Base, WYSIWYM Editing