The \(\mathcal{I}\mathcal{Q}\) system: A deductive database Information Lens for reasoning about textual information

  • Bob Kero
  • Shalom Tsur
Invited Lecture
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1154)


The \(\mathcal{I}\mathcal{Q}\) system, described in this paper, addresses two current problems in information retrieval (IR) from document repositories: (i) the “glut-of-information” that threatens to overwhelm the users of these systems and (ii) the loss of informational value as the documents are moved from their organizational setting into a machine-readable format. The answer to these problems discussed in the paper, proposes to restore much of this information by creating a context-base to store the additional recovered knowledge. The technology used is the \(\mathcal{L}\mathcal{D}\mathcal{L}\) deductive database: we demonstrate how to use the rule-extensions to declare levels of abstraction in the information that can be used to “zoomin” or “pan-out” as required by the user (an “Information Lens”). The system takes extensive advantage of the World-Wide Web and enlists the capabilities of JAVA for information display. We discuss some of the performance issues that were experienced and conclude with a description of future R&D ideas along the lines started here.


Information Retrieval Parse Tree Information Retrieval System Deductive Database Document Type Definition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Bob Kero
    • 1
  • Shalom Tsur
    • 1
  1. 1.Decision and Information Sciences DivisionArgonne National LaboratoryArgonne

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