Envisioning information
To see, or not to see— is That the query?
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Visualization of a document collection: the vibe system
Information Processing and Management: an International Journal
Scientific display: a means of reconciling artists and scientists
Frontiers of scientific visualization
Scientific discovery and simplicity of method
Artificial Intelligence - Special issue on scientific discovery
An interactive system for finding complementary literatures: a stimulus to scientific discovery
Artificial Intelligence - Special issue on scientific discovery
Map displays for information retrieval
Journal of the American Society for Information Science
Direct manipulation vs. interface agents
interactions
Information forage through adaptive visualization
Proceedings of the third ACM conference on Digital libraries
Modern Information Retrieval
Inferring Correlation Between Database Queries: Analysis of Protein Sequence Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visualization for the document space
VIS '92 Proceedings of the 3rd conference on Visualization '92
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Constructing an associative concept space for literature-based discovery
Journal of the American Society for Information Science and Technology
Properties-based retrieval and user decision states: user control and behavior modeling
Journal of the American Society for Information Science and Technology
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This article describes an information retrieval, visualization, and manipulation model. After term or phrases have been input for a query, the system designed on this model offers the user multiple ways to exploit the retrieval set via an interactive interface. The retrieved data are clustered into thematic concepts related to the query, represented on screen as a grid of nodes. Users of the system may manipulate the retrieval set to explore document-document, document-concept, concept-concept relationships in the retrieval set that might otherwise be masked by altering (a) the discrete grid size of the display, (b) the influence, or weight, of various document terms and properties, and (c) mixed levels of granularity. As these factors are reweighed, the display is updated in real-time to expose unanticipated document relationships, and shifts in cluster membership. The article outlines the mathematical model and then describes an information-retrieval application built on the model to search structured and full-text files. The application, written in Java, uses a small test collection of Dialog and Swiss-Prot documents.