Wide Area Information Servers: An Executive Information System for Unstructured Files

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Abstract
In this paper we present a corporate information system for untrained users to search gigabytes of unformatted data using quasi‐natural language and relevance feedback queries. The data can reside on distributed servers anywhere on a wide area network, giving the users access to personal, corporate, and published information from a single interface. Effective queries can be turned into profiles, allowing the system to automatically alert the user when new data are available. The system was tested by twenty executive users located in six cities. Our primary goal in building the system was to determine if the technology and infrastructure existed to make end‐user searching of unstructured information profitable. We found that effective search and user interface technologies for end‐users are available, but network technologies are still a limiting cost factor. As a result of the experiment, we are continuing the development of the system. This article will describe the overall system architecture, the implemented subset, and the lessons learned.

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