LivingKnowledge goal is to bring a new quality into search and knowledge management technology for more concise, complete and contextualised search results.
The paper “CATE: Context-Aware Timeline for Entity Illustration” co-written by T. Anh Tuan, S. Elbassuoni, N. Preda and G. Weikum, will be presented In Proc. of WWW2011 in Hyderabad, India on March 28th-April 1st, 2011
Wikipedia has become one of the most authoritative informationsources on the Web. Each article in Wikipedia provides a portrait of a certain entity. However, such a portrait is far from complete. An informative portrait of an entity should also reveal the context the entity belongs to. For example, for a person, major historical, political and cultural events that coincide with her life are important and should be included in that personís portrait. Similarly, the
personís interactions with other people are also important. All this information should be summarized and presented in an appealing and interactive visual interface that enables users to quickly scan the entityís portrait.
We demonstrate CATE which is a system that utilizes Wikipedia to create a portrait of a given entity of interest. We provide a visualization tool that summarizes the important events related to the entity . The novelty of our approach lies in seeing the portrait of an entity in a broader context, synchronous with its time.