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  • × author_ss:"Hammond, K."
  1. Budzik, J.; Hammond, K.: Watson : anticipating and contextualizing information needs (1999) 0.01 
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    Abstract
    In this paper, we introduce a class of systems called Information Management Assistants (IMAs). IMAs automatically discover related material on behalf of the user by serving as an intermediary between the user and information retrieval systems. IMAs observe users interact with everyday applications and then anticipate their information needs using a model of the task at hand. IMAs then automatically fulfill these needs using the text of the document the user is manipulating and a knowledge of how to form queries to traditional information retrieval systems (e.g., Internet search engines, abstract databases, etc.). IMAs automatically query information systems on behalf of users as well as provide an interface by which the user can pose queries explicitly. Because IMAs are aware of the user's task, they can augment their explicit query with terms representative of the context of this task. In this way, IMAs provide a framework for bringing implicit task context to bear on servicing explicit information requests, significantly reducing ambiguity. IMAs embody a just-in-time information infrastructure in which information is brought to users as they need it, without requiring explicit requests. In this paper, we present our work on an architecture for this class of system, and our progress implementing Watson, a prototype of such a system. Watson observes users in word processing and Web browsing applications and uses a simple model of the user's tasks, knowledge of term importance, and an understanding of query generation to find relevant documents and service explicit queries. We close by discussing our experimental evaluations of the system
    Imprint
    Medford, NJ : Information Today
    Series
    Proceedings of the American Society for Information Science; vol.36
    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
  2. Bradshaw, S.; Hammond, K.: Constructing indices from citations in collections of research papers (1999) 0.01 
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    Abstract
    We describe Rosetta, an indexing and retrieval system for collections of research papers. Rosetta indexes papers in a collection based on the way they have been described when referenced by other papers in the collection. With this technique, indices for papers describe information provided in the same way a query describes information needed. Using Rosetta, simple natural language queries retrieve high-precision results in which descriptions based on citations clearly summarize retrieved papers; allowing users to quickly determine which papers most closely meet their information needs
    Imprint
    Medford, NJ : Information Today
    Series
    Proceedings of the American Society for Information Science; vol.36
    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
  3. Budzik, J.; Hammond, K.: Q&A: a system for the capture, organization and reuse of expertise (1999) 0.01 
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    Imprint
    Medford, NJ : Information Today
    Series
    Proceedings of the American Society for Information Science; vol.36
    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
    Theme
    Information Resources Management

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