WIDIT research explores a fusion approach to information retrieval and knowledge discovery. We believe that to facilitate understanding of information as well as its discovery, we need to combine the capabilities of both the human and the machine as well as multiple methods and sources of evidence. Currently, we are engaged in projects that investigate the integration of information retrieval and knowledge organization approaches (CSKD), the application of Semantic Web strategies in digital library construction (JiTTDL), the combination of data and method fusion to enhance government information discovery on the Web (DGov), the development of an interactive and adaptive agent that will harvest, organize, and maintain a personalized collection of electronic and/or digital resources (VCoB), and the examination of information retrieval strategies that can accommodate a variety of data environments and search tasks (TREC).