  In this paper we present the IRSA framework that enables the automatic
creation of search term suggestion or recommendation systems (TS). Such TS are
used to operationalize interactive query expansion and help users in refining
their information need in the query formulation phase. Our recent research has
shown TS to be more effective when specific to a certain domain. The presented
technical framework allows owners of Digital Libraries to create their own
specific TS constructed via OAI-harvested metadata with very little effort.
