Further use of Controlled Natural Language for Semantic Annotation of Wikis.
Brian P. Davis, Siegfried Handschuh, Hamish Cunningham, Valentin Tablan · 2006
Knowledge Acquisition through Semantic Annotation is vital to the evolution, growth and success of the Semantic Web. Both Semiautomatic and Manual Annotation are constricted by a knowledge acquisition bottleneck. Manual Semantic Annotation is a complex and arduous task both time-consuming and costly, often requiring specialist annotators. Therefore, automation of this process is essential to ease the constriction inherent to knowledge acquisition. Semi-automatic annotation tools detect instances of classes within text and relationships between classes; but their usage often requires knowledge of Natural Language Processing and/or formal ontological descriptions. However, one must o er an incentive for a user to annotate his/her respective documents in an user-friendly manner. We describe work in progress concerning the application of Controlled Language Information Extraction CLIE to a Personal Semantic Wiki SemperWiki, the goal being to permit users who have no specialist knowledge in ontology tools or languages to semi-automatically annotate their respective personal Wiki pages.