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Direct manipulation querying of data...

Liu, Bin.

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Direct manipulation querying of database systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Direct manipulation querying of database systems./
作者:	Liu, Bin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2011,
面頁冊數:	138 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-12, Section: B, page: 7476.
Contained By:	Dissertation Abstracts International72-12B.
標題:	Computer science. -
電子資源:	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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500 $a Adviser: Hosagrahar V. Jagadish.
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520 $a 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.
520 $a 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.
520 $a 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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