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Combining keyword search and forms for ad hoc querying of databases

Published: 29 June 2009 Publication History

Abstract

A common criticism of database systems is that they are hard to query for users uncomfortable with a formal query language. To address this problem, form-based interfaces and keyword search have been proposed; while both have benefits, both also have limitations. In this paper, we investigate combining the two with the hopes of creating an approach that provides the best of both. Specifically, we propose to take as input a target database and then generate and index a set of query forms offline. At query time, a user with a question to be answered issues standard keyword search queries; but instead of returning tuples, the system returns forms relevant to the question. The user may then build a structured query with one of these forms and submit it back to the system for evaluation. In this paper, we address challenges that arise in form generation, keyword search over forms, and ranking and displaying these forms. We explore techniques to tackle these challenges, and present experimental results suggesting that the approach of combining keyword search and form-based interfaces is promising.

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    cover image ACM Conferences
    SIGMOD '09: Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
    June 2009
    1168 pages
    ISBN:9781605585512
    DOI:10.1145/1559845
    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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    New York, NY, United States

    Publication History

    Published: 29 June 2009

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    Author Tags

    1. keyword search
    2. query forms
    3. relational databases

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    SIGMOD/PODS '09
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    SIGMOD/PODS '09: International Conference on Management of Data
    June 29 - July 2, 2009
    Rhode Island, Providence, USA

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    Overall Acceptance Rate 785 of 4,003 submissions, 20%

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    • (2023)Intelligent Index Tuning Using Reinforcement LearningNew Trends in Database and Information Systems10.1007/978-3-031-42941-5_45(523-534)Online publication date: 31-Aug-2023
    • (2022)Keyword Search in Databases10.1007/978-3-031-79426-1Online publication date: 24-Feb-2022
    • (2020)Keyword search on form resultsProceedings of the VLDB Endowment10.14778/3402707.34027534:11(1189-1200)Online publication date: 3-Jun-2020
    • (2018)Human-in-the-Loop Data AnalysisProceedings of the Workshop on Human-In-the-Loop Data Analytics10.1145/3209900.3209913(1-6)Online publication date: 10-Jun-2018
    • (2016)Keyword-Based Search Over DatabasesTransactions on Computational Collective Intelligence XXI - Volume 963010.5555/3090176.3090177(1-20)Online publication date: 1-Jan-2016
    • (2016)Content Based Segregation of Pertinent Documents Using Adaptive ProgressionCircuits and Systems10.4236/cs.2016.7816007:08(1856-1865)Online publication date: 2016
    • (2016)Comprehensive Study on Keyword Search on Semi Structured DataInternational Journal of Knowledge Society Research10.4018/IJKSR.20160701057:3(62-85)Online publication date: 1-Jul-2016
    • (2016)Nearest Neighbor Search Technique Using Keywords and ThresholdProceedings of the ACM Symposium on Women in Research 201610.1145/2909067.2909070(7-11)Online publication date: 21-Mar-2016
    • (2016)Assisting document annotation using a data sharing platform2016 10th International Conference on Intelligent Systems and Control (ISCO)10.1109/ISCO.2016.7727021(1-5)Online publication date: Jan-2016
    • (2016)Keyword-Based Search Over Databases: A Roadmap for a Reference Architecture Paired with an Evaluation FrameworkTransactions on Computational Collective Intelligence XXI10.1007/978-3-662-49521-6_1(1-20)Online publication date: 2016
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