EachWiki: Suggest to Be an Easy-To-Edit Wiki Interface for Everyone

Abstract. In this paper, we present EachWiki, an extension of Semantic MediaWiki characterized by an intelligent suggestion mechanism. It aims to facilitate the wiki authoring by recommending the following elements: links, categories, and properties. We exploit the semantics of Wikipedia data and leverage the collective wisdom of web users to provide high quality annotation suggestions. The proposed mechanism not only improves the usability of Semantic MediaWiki but also speeds up its converging use of terminology. The suggestions are applied to relieve the burden of wiki authoring and attract more inexperienced contributors, thus making Semantic MediaWiki even better Semantic Web proto types and data source.

• Type: Conference
• Year: 2007
• Where: SEMWEB
• Authors: Huajie Zhang, Linyun Fu, Haofen Wang, Haiping Zhu, Yang Wang, Yong Yu
• Keywords: Intelligent Suggestion Mechanism, Semantic MediaWiki, SEMWEB 2007, Wiki Authoring