Exploiting Temporal Information in Retrieval of Archived Documents

In a text retrieval community, many researchers have shown a good quality of searching a current snapshot of the Web. However, only a small number have demonstrated a good quality of searching a long-term archival domain, where doc-uments are preserved for a long time, i.e., ten years or more. In such a domain, a search application is not only applicable for archivists or historians, but also in a context of national library and enterprise search (searching document reposito-ries, emails, etc.). In the rest of this paper, we will explain three problems of searching document archives and propose possible approaches to solve these problems. Our main re-search question is: How to improve the quality of search in a document archive using temporal information? One problem of search is a large amount of document