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Direct manipulation querying of data...
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Liu, Bin.
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Direct manipulation querying of database systems.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Direct manipulation querying of database systems./
Author:
Liu, Bin.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2011,
Description:
138 p.
Notes:
Source: Dissertation Abstracts International, Volume: 72-12, Section: B, page: 7476.
Contained By:
Dissertation Abstracts International72-12B.
Subject:
Computer science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3476584
ISBN:
9781124912370
Direct manipulation querying of database systems.
Liu, Bin.
Direct manipulation querying of database systems.
- Ann Arbor : ProQuest Dissertations & Theses, 2011 - 138 p.
Source: Dissertation Abstracts International, Volume: 72-12, Section: B, page: 7476.
Thesis (Ph.D.)--University of Michigan, 2011.
Database systems are tremendously powerful and useful, as evidenced by their popularity in modern business. Unfortunately, for non-expert users, to use a database is still a daunting task due to its poor usability.
ISBN: 9781124912370Subjects--Topical Terms:
523869
Computer science.
Direct manipulation querying of database systems.
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138 p.
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Source: Dissertation Abstracts International, Volume: 72-12, Section: B, page: 7476.
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Adviser: Hosagrahar V. Jagadish.
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Thesis (Ph.D.)--University of Michigan, 2011.
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Database systems are tremendously powerful and useful, as evidenced by their popularity in modern business. Unfortunately, for non-expert users, to use a database is still a daunting task due to its poor usability.
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This PhD dissertation examines stages in the information seeking process and proposes techniques to help users interact with the database through direct manipulation, which has been proven a natural interaction paradigm. For the first stage of information seeking, query formulation, we proposed a spreadsheet algebra upon which a direct manipulation interface for database querying can be built. We developed a spreadsheet algebra that is powerful (capable of expressing at least all single-block SQL queries) and can be intuitively implemented in a spreadsheet. In addition, we proposed assisted querying by browsing, where we help users query the database through browsing. For the second stage, result review, instead of asking users to review possibly many results in a flat table, we proposed a hierarchical navigation scheme that allows users to browse the results through representatives with easy drill-down and filtering capabilities. We proposed an efficient tree-based method for generating the representatives. For the query refinement stage, we proposed and implemented a provenance-based automatic refinement framework. Users label a set of output tuples and our framework produces a ranked list of changes that best improve the query.
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This dissertation significantly lowers the barrier for non-expert users and reduces the effort for expert users to use a database.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3476584
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