Polaris: a system for query, analysis, and visualization of multidimensional relational databases

In the last several years, large multidimensional databases have become common in a variety of applications, such as data warehousing and scientific computing. Analysis and exploration tasks place significant demands on the interfaces to these databases. Because of the size of the data sets, dense g...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics 2002-01, Vol.8 (1), p.52-65
Hauptverfasser: Stolte, C., Tang, D., Hanrahan, P.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 65
container_issue 1
container_start_page 52
container_title IEEE transactions on visualization and computer graphics
container_volume 8
creator Stolte, C.
Tang, D.
Hanrahan, P.
description In the last several years, large multidimensional databases have become common in a variety of applications, such as data warehousing and scientific computing. Analysis and exploration tasks place significant demands on the interfaces to these databases. Because of the size of the data sets, dense graphical representations are more effective for exploration than spreadsheets and charts. Furthermore, because of the exploratory nature of the analysis, it must be possible for the analysts to change visualizations rapidly as they pursue a cycle involving first hypothesis and then experimentation. In this paper, we present Polaris, an interface for exploring large multidimensional databases that extends the well-known pivot table interface. The novel features of Polaris include an interface for constructing visual specifications of table-based graphical displays and the ability to generate a precise set of relational queries from the visual specifications. The visual specifications can be rapidly and incrementally developed, giving the analyst visual feedback as he constructs complex queries and visualizations.
doi_str_mv 10.1109/2945.981851
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_28494254</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>981851</ieee_id><sourcerecordid>28494254</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-133b7ec0889ff31c341458dffb63b7242baf58dc296732d62c6c241078baf5a53</originalsourceid><addsrcrecordid>eNqFkTtPwzAUhSMEEqUwsTFZDDBAih83ic2GKl5SJRhgjtzEllw5TfFNkMKvx6GIgQEmH_t8OrrXJ0mOGZ0xRtUVV5DNlGQyYzvJhClgKc1ovhs1LYqU5zzfTw4QV5QyAKkmiX5uvQ4Or4kmOGBnGmLbQN56E4ZLotfaD-hwVDV5d9hr7z5059o1aS1pet-52jVmjfFFexKM_zKjrHWnlxoNHiZ7Vns0R9_nNHm9u32ZP6SLp_vH-c0iraCALmVCLAtTUSmVtYJVAhhksrZ2mUeDA19qG-8VV3kheJ3zKq84xLXkaOhMTJPzbe4mtHF87MrGYWW812vT9lgqWiiQIhORPPuT5BIU8Az-B4tcgFBj4ukvcNX2IX4DllJCRoEJHqGLLVSFFjEYW26Ca3QYSkbLsb5yrK_c1hfpky3tjDE_5Lf5CVlolOU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>884504132</pqid></control><display><type>article</type><title>Polaris: a system for query, analysis, and visualization of multidimensional relational databases</title><source>IEEE Electronic Library (IEL)</source><creator>Stolte, C. ; Tang, D. ; Hanrahan, P.</creator><creatorcontrib>Stolte, C. ; Tang, D. ; Hanrahan, P.</creatorcontrib><description>In the last several years, large multidimensional databases have become common in a variety of applications, such as data warehousing and scientific computing. Analysis and exploration tasks place significant demands on the interfaces to these databases. Because of the size of the data sets, dense graphical representations are more effective for exploration than spreadsheets and charts. Furthermore, because of the exploratory nature of the analysis, it must be possible for the analysts to change visualizations rapidly as they pursue a cycle involving first hypothesis and then experimentation. In this paper, we present Polaris, an interface for exploring large multidimensional databases that extends the well-known pivot table interface. The novel features of Polaris include an interface for constructing visual specifications of table-based graphical displays and the ability to generate a precise set of relational queries from the visual specifications. The visual specifications can be rapidly and incrementally developed, giving the analyst visual feedback as he constructs complex queries and visualizations.</description><identifier>ISSN: 1077-2626</identifier><identifier>EISSN: 1941-0506</identifier><identifier>DOI: 10.1109/2945.981851</identifier><identifier>CODEN: ITVGEA</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Construction specifications ; Data visualization ; Displays ; Exploration ; Feedback ; Graphical representations ; Multidimensional systems ; Online analytical processing ; Polarization ; Query processing ; Relational databases ; Scientific computing ; Spatial databases ; Specifications ; Visual ; Visual databases ; Visualization ; Warehousing</subject><ispartof>IEEE transactions on visualization and computer graphics, 2002-01, Vol.8 (1), p.52-65</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2002</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-133b7ec0889ff31c341458dffb63b7242baf58dc296732d62c6c241078baf5a53</citedby><cites>FETCH-LOGICAL-c474t-133b7ec0889ff31c341458dffb63b7242baf58dc296732d62c6c241078baf5a53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/981851$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/981851$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Stolte, C.</creatorcontrib><creatorcontrib>Tang, D.</creatorcontrib><creatorcontrib>Hanrahan, P.</creatorcontrib><title>Polaris: a system for query, analysis, and visualization of multidimensional relational databases</title><title>IEEE transactions on visualization and computer graphics</title><addtitle>TVCG</addtitle><description>In the last several years, large multidimensional databases have become common in a variety of applications, such as data warehousing and scientific computing. Analysis and exploration tasks place significant demands on the interfaces to these databases. Because of the size of the data sets, dense graphical representations are more effective for exploration than spreadsheets and charts. Furthermore, because of the exploratory nature of the analysis, it must be possible for the analysts to change visualizations rapidly as they pursue a cycle involving first hypothesis and then experimentation. In this paper, we present Polaris, an interface for exploring large multidimensional databases that extends the well-known pivot table interface. The novel features of Polaris include an interface for constructing visual specifications of table-based graphical displays and the ability to generate a precise set of relational queries from the visual specifications. The visual specifications can be rapidly and incrementally developed, giving the analyst visual feedback as he constructs complex queries and visualizations.</description><subject>Construction specifications</subject><subject>Data visualization</subject><subject>Displays</subject><subject>Exploration</subject><subject>Feedback</subject><subject>Graphical representations</subject><subject>Multidimensional systems</subject><subject>Online analytical processing</subject><subject>Polarization</subject><subject>Query processing</subject><subject>Relational databases</subject><subject>Scientific computing</subject><subject>Spatial databases</subject><subject>Specifications</subject><subject>Visual</subject><subject>Visual databases</subject><subject>Visualization</subject><subject>Warehousing</subject><issn>1077-2626</issn><issn>1941-0506</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkTtPwzAUhSMEEqUwsTFZDDBAih83ic2GKl5SJRhgjtzEllw5TfFNkMKvx6GIgQEmH_t8OrrXJ0mOGZ0xRtUVV5DNlGQyYzvJhClgKc1ovhs1LYqU5zzfTw4QV5QyAKkmiX5uvQ4Or4kmOGBnGmLbQN56E4ZLotfaD-hwVDV5d9hr7z5059o1aS1pet-52jVmjfFFexKM_zKjrHWnlxoNHiZ7Vns0R9_nNHm9u32ZP6SLp_vH-c0iraCALmVCLAtTUSmVtYJVAhhksrZ2mUeDA19qG-8VV3kheJ3zKq84xLXkaOhMTJPzbe4mtHF87MrGYWW812vT9lgqWiiQIhORPPuT5BIU8Az-B4tcgFBj4ukvcNX2IX4DllJCRoEJHqGLLVSFFjEYW26Ca3QYSkbLsb5yrK_c1hfpky3tjDE_5Lf5CVlolOU</recordid><startdate>200201</startdate><enddate>200201</enddate><creator>Stolte, C.</creator><creator>Tang, D.</creator><creator>Hanrahan, P.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>200201</creationdate><title>Polaris: a system for query, analysis, and visualization of multidimensional relational databases</title><author>Stolte, C. ; Tang, D. ; Hanrahan, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-133b7ec0889ff31c341458dffb63b7242baf58dc296732d62c6c241078baf5a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Construction specifications</topic><topic>Data visualization</topic><topic>Displays</topic><topic>Exploration</topic><topic>Feedback</topic><topic>Graphical representations</topic><topic>Multidimensional systems</topic><topic>Online analytical processing</topic><topic>Polarization</topic><topic>Query processing</topic><topic>Relational databases</topic><topic>Scientific computing</topic><topic>Spatial databases</topic><topic>Specifications</topic><topic>Visual</topic><topic>Visual databases</topic><topic>Visualization</topic><topic>Warehousing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stolte, C.</creatorcontrib><creatorcontrib>Tang, D.</creatorcontrib><creatorcontrib>Hanrahan, P.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on visualization and computer graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Stolte, C.</au><au>Tang, D.</au><au>Hanrahan, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Polaris: a system for query, analysis, and visualization of multidimensional relational databases</atitle><jtitle>IEEE transactions on visualization and computer graphics</jtitle><stitle>TVCG</stitle><date>2002-01</date><risdate>2002</risdate><volume>8</volume><issue>1</issue><spage>52</spage><epage>65</epage><pages>52-65</pages><issn>1077-2626</issn><eissn>1941-0506</eissn><coden>ITVGEA</coden><abstract>In the last several years, large multidimensional databases have become common in a variety of applications, such as data warehousing and scientific computing. Analysis and exploration tasks place significant demands on the interfaces to these databases. Because of the size of the data sets, dense graphical representations are more effective for exploration than spreadsheets and charts. Furthermore, because of the exploratory nature of the analysis, it must be possible for the analysts to change visualizations rapidly as they pursue a cycle involving first hypothesis and then experimentation. In this paper, we present Polaris, an interface for exploring large multidimensional databases that extends the well-known pivot table interface. The novel features of Polaris include an interface for constructing visual specifications of table-based graphical displays and the ability to generate a precise set of relational queries from the visual specifications. The visual specifications can be rapidly and incrementally developed, giving the analyst visual feedback as he constructs complex queries and visualizations.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/2945.981851</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1077-2626
ispartof IEEE transactions on visualization and computer graphics, 2002-01, Vol.8 (1), p.52-65
issn 1077-2626
1941-0506
language eng
recordid cdi_proquest_miscellaneous_28494254
source IEEE Electronic Library (IEL)
subjects Construction specifications
Data visualization
Displays
Exploration
Feedback
Graphical representations
Multidimensional systems
Online analytical processing
Polarization
Query processing
Relational databases
Scientific computing
Spatial databases
Specifications
Visual
Visual databases
Visualization
Warehousing
title Polaris: a system for query, analysis, and visualization of multidimensional relational databases
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T14%3A09%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Polaris:%20a%20system%20for%20query,%20analysis,%20and%20visualization%20of%20multidimensional%20relational%20databases&rft.jtitle=IEEE%20transactions%20on%20visualization%20and%20computer%20graphics&rft.au=Stolte,%20C.&rft.date=2002-01&rft.volume=8&rft.issue=1&rft.spage=52&rft.epage=65&rft.pages=52-65&rft.issn=1077-2626&rft.eissn=1941-0506&rft.coden=ITVGEA&rft_id=info:doi/10.1109/2945.981851&rft_dat=%3Cproquest_RIE%3E28494254%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=884504132&rft_id=info:pmid/&rft_ieee_id=981851&rfr_iscdi=true