  Working with Web archives raises a number of issues caused by their temporal
characteristics. Depending on the age of the content, additional knowledge
might be needed to find and understand older texts. Especially facts about
entities are subject to change. Most severe in terms of information retrieval
are name changes. In order to find entities that have changed their name over
time, search engines need to be aware of this evolution. We tackle this problem
by analyzing Wikipedia in terms of entity evolutions mentioned in articles
regardless the structural elements. We gathered statistics and automatically
extracted minimum excerpts covering name changes by incorporating lists
dedicated to that subject. In future work, these excerpts are going to be used
to discover patterns and detect changes in other sources. In this work we
investigate whether or not Wikipedia is a suitable source for extracting the
required knowledge.
