Controlled Natural Language for Semantic Annotation

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 oer 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...

• Type: Conference
• Year: 2009
• Where: ESWS
• Authors: Brian Davis, Pradeep Varma, Siegfried Handschuh, Laura Dragan, Hamish Cunningham
• Keywords: ESWS 2009, Internet Technology, Knowledge Acquisition, Manual Semantic Annotation, Semantic Annotation