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RABBIT: An interface for database access

Authors:

Michael D. Williams,

Frederich N. TouAuthors Info & Claims

ACM '82: Proceedings of the ACM '82 conference

Pages 83 - 87

https://doi.org/10.1145/800174.809764

Published: 01 January 1982 Publication History

Abstract

A new kind of user interface for information retrieval has been designed and implemented to aid users in formulating a query. The system, called RABBIT, relies upon a new paradigm for retrieval by reformulation, based on a psychological theory of human remembering. The paradigm actually evolved from an explicit attempt to design a 'natural' interface which imitated human retrieval processes.

To make a query in RABBIT, the user interactively refines partial descriptions of his target item(s) by criticizing successive example (and counterexample) instances that satisfy the current partial description. Instances from the database are presented to the user from a perspective inferred from the user's query description and the structure of the knowledge base. Among other things, this constructed perspective reminds users of likely terms to use in their descriptions, enhances their understanding of the meaning of given terms, and prevents them from creating certain classes of semantically improper query descriptions. RABBIT particularily facilitates users who approach a database with only a vague idea of what it is that they want and who thus, need to be guided in the (re)formulation of their queries. RABBIT is also of substantial value to casual users who have limited knowledge of a given database or who must deal with a multitude of databases.

References

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Tou, F.N., Williams, M.D., Fikes, R.E., Henderson, A., and Malone, T.W. "RABBIT: an Intelligent Database Assistant." Proceedings of the National Conference on Artificial Intelligence. Pittsburgh, PA: August 1982b, pp. 314-318.

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Felfernig AFriedrich GJannach DZanker M(2015)Constraint-Based Recommender SystemsRecommender Systems Handbook10.1007/978-1-4899-7637-6_5(161-190)Online publication date: 2015
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Index Terms

RABBIT: An interface for database access
1. Information systems
  1. Data management systems
    1. Data structures
      1. Data access methods
  2. Information retrieval
    1. Information retrieval query processing

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cover image ACM Conferences

ACM '82: Proceedings of the ACM '82 conference

January 1982

235 pages

ISBN:0897910850

DOI:10.1145/800174

Copyright © 1982 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 January 1982

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Cited By

Antognini DFaltings B(2021)Fast Multi-Step Critiquing for VAE-based Recommender SystemsProceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3474249(209-219)Online publication date: 13-Sep-2021
https://dl.acm.org/doi/10.1145/3460231.3474249
Felfernig AFriedrich GJannach DZanker M(2015)Constraint-Based Recommender SystemsRecommender Systems Handbook10.1007/978-1-4899-7637-6_5(161-190)Online publication date: 2015
https://doi.org/10.1007/978-1-4899-7637-6_5
Pu PChen LHu R(2012)Evaluating recommender systems from the user's perspectiveUser Modeling and User-Adapted Interaction10.1007/s11257-011-9115-722:4-5(317-355)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1007/s11257-011-9115-7
Chen LPu P(2010)Experiments on the preference-based organization interface in recommender systemsACM Transactions on Computer-Human Interaction10.1145/1721831.172183617:1(1-33)Online publication date: 6-Apr-2010
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Felfernig AFriedrich GJannach DZanker M(2010)Developing Constraint-based RecommendersRecommender Systems Handbook10.1007/978-0-387-85820-3_6(187-215)Online publication date: 5-Oct-2010
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Pu PFaltings BChen LZhang JViappiani P(2010)Usability Guidelines for Product Recommenders Based on Example Critiquing ResearchRecommender Systems Handbook10.1007/978-0-387-85820-3_16(511-545)Online publication date: 5-Oct-2010
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McGinty LReilly J(2010)On the Evolution of Critiquing RecommendersRecommender Systems Handbook10.1007/978-0-387-85820-3_13(419-453)Online publication date: 5-Oct-2010
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INAMURA HSHOJI H(2009)Financial Analysis System using XBRL and the Interaction SupportJournal of Japan Society for Fuzzy Theory and Intelligent Informatics10.3156/jsoft.21.33821:3(338-347)Online publication date: 2009
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Chen LPu P(2009)Interaction design guidelines on critiquing-based recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-008-9057-x19:3(167-206)Online publication date: 1-Aug-2009
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