Principles and Tools for Authoring Knowledge-Rich Documents

Digital libraries can take advantage of documents that have their content (semantics) explicitly represented as knowledge structures. These knowledge-rich documents can be created by using natural language processing techniques or by acquiring knowledge from the author during the authoring process. We discuss the latter approach, and introduce the notion of Knowledge-Based Authoring Tools (KBATs). It turns out that the primary task for a KBAT is to reduce (apparent) ambiguities in the text to zero, obtaining a unique analysis or, barring that, reduce the ambiguity of a particular piece of text to the point that only one or two simple queries to the author will resolve the issue.

• Type: Conference
• Year: 1995
• Where: DEXAW
• Authors: Robert P. Futrelle, Natalya Fridman Noy
• Keywords: Database, DEXAW 1995, Knowledge-Based Authoring Tools, Knowledge-rich Documents, Language Processing Techniques