Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Recent trends in hierarchic document clustering: a critical review
Information Processing and Management: an International Journal
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Hypermedia and free text retrieval
Information Processing and Management: an International Journal - Special issue on hypertext and information retrieval
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Fast and effective query refinement
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Contextualizing the information space in federated digital libraries
ACM SIGMOD Record
Generating, integrating, and activating thesauri for concept-based document retrieval
IEEE Expert: Intelligent Systems and Their Applications
Capturing and Querying Multiple Aspects of Semistructured Data
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Flexible and Extensible Digital Object and Repository Architecture (FEDORA)
ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries
Ontological analysis of taxonomic relationships
ER'00 Proceedings of the 19th international conference on Conceptual modeling
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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.