A Strategic Level for Scientific Digital Libraries

Digital libraries (DLs) are a resource for answering complex questions. Up to now, such systems mainly support keyword-based searching and browsing. The mapping from a research question to keywords and the assessment whether a retrieved article is relevant to the research question are completely the responsibility of the user. In this paper, we present a two-layered DL model. The aim is to enhance current DLs to support different levels of human cognitive acts, thus enabling new kinds of knowledge exchange among library users. The lower layer of the model, namely, the tactical cognition support layer, is intended to provide users with requested relevant documents, just as in searching and browsing. The upper layer of the model, namely, the strategic cognition support layer, not only provides users with relevant documents but also directly and intelligently answers users' cognitive questions. On the basis of the proposed model, we divide the DL information space into two subspaces, i.e., a knowledge subspace and a document subspace, where documents in the document subspace serve as the justification for the corresponding knowledge in the knowledge subspace. A detailed description of the knowledge subspace is discussed.