DEVise: Integrated Querying and Visualization of Large Datasets.

@inproceedings{DBLP:conf/sigmod/LivnyRBCDLMW97,
  author    = {Miron Livny and
               Raghu Ramakrishnan and
               Kevin S. Beyer and
               Guangshun Chen and
               Donko Donjerkovic and
               Shilpa Lawande and
               Jussi Myllymaki and
               R. Kent Wenger},
  editor    = {Joan Peckham},
  title     = {DEVise: Integrated Querying and Visualization of Large Datasets},
  booktitle = {SIGMOD 1997, Proceedings ACM SIGMOD International Conference
               on Management of Data, May 13-15, 1997, Tucson, Arizona, USA},
  publisher = {ACM Press},
  year      = {1997},
  pages     = {301-312},
  ee        = {http://doi.acm.org/10.1145/253260.253335, db/conf/sigmod/LivnyRBCDLMW97.html},
  crossref  = {DBLP:conf/sigmod/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

DEVise is a data exploration system that allows users to easily develop, browse, and share visual presentations of large tabular datasets (possibly containing or referencing multimedia objects) from several sources. The DEVise framework is being implemented in a tool that has been already successfully applied to a variety of real applications by a number of user groups.

Our emphasis is on developing an intuitive yet powerful set of querying and visualization primitives that can be easily combined to develop a rich set of visual presentations that integrate data from a wide range of application domains. While DEVise is a powerful visualization tool, its greatest strengths are the ability to interactively explore a visual presentation of the data at any level of detail (including retrieving individual data records), and the ability to seamlessly query and combine data from a variety of local and remote sources. In this paper, we present the DEVise framework, describe the current tool, and report on our experience in applying it to several real applications.

Copyright © 1997 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

ACM SIGMOD Anthology

CDROM Version: Load the CDROM "Volume 1 Issue 1, SIGMOD '93-'97" and ...

• Windows: Click the letter of your CD drive
  A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
• Mac: Click here
• UNIX/LINUX: mount the CD and click on the path of your mount point:
  /Anthology/smod9397 or /cdrom

• Windows: Click the letter of your CD drive
  A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
• Mac: Click here
• UNIX/LINUX: mount the DVD and click on the path of your mount point:
  /Anthology/aDVD1 or /dvd

Printed Edition

Online Edition: ACM Digital Library

References

[1]

Alexander Aiken, Jolly Chen, Michael Stonebraker, Allison Woodruff: Tioga-2: A Direct Manipulation Database Visualization Environment. ICDE 1996: 208-217 BibTeX

[2]

...

[3]

...

[4]

...

[5]

William L. Hibbard, Brian E. Paul, David A. Santek, Charles R. Dyer, André Luiz Battaiola, Marie-Françoise Voidrot-Martinez: Interactive Visualization of Earth and Space Science Computations. IEEE Computer 27(7): 65-72(1994) BibTeX

[6]

Allan S. Jacobson, Andrew L. Berkin, Martin N. Orton: LinkWinds: Interactive Scientific Data Analysis and Visualization. Commun. ACM 37(4): 42-52(1994) BibTeX

[7]

...

[8]

...

[9]

...

[10]

...

[11]

...

[12]

Michael Stonebraker, Jolly Chen, Nobuko Nathan, Caroline Paxson, Jiang Wu: Tioga: Providing Data Management Support for Scientific Visualization Applications. VLDB 1993: 25-38 BibTeX

[13]

...

[14]

...

[15]

Tian Zhang, Raghu Ramakrishnan, Miron Livny: BIRCH: An Efficient Data Clustering Method for Very Large Databases. SIGMOD Conference 1996: 103-114 BibTeX

Referenced by

1. Peter J. Haas: Techniques for Online Exploration of Large Object-Relational Datasets. SSDBM 1999: 4-12
2. Chialin Chang, Anurag Acharya, Alan Sussman, Joel H. Saltz: T2: A Customizable Parallel Database for Multi-Dimensional Data. SIGMOD Record 27(1): 58-66(1998)
3. Raghu Ramakrishnan, Donko Donjerkovic, Arvind Ranganathan, Kevin S. Beyer, Muralidhar Krishnaprasad: SRQL: Sorted Relational Query Language. SSDBM 1998: 84-95
4. Anastassia Ailamaki, Yannis E. Ioannidis, Miron Livny: Scientific Workflow Management by Database Management. SSDBM 1998: 190-199
5. Chris Olston, Allison Woodruff, Alexander Aiken, Michael Chu, Vuk Ercegovac, Mark Lin, Mybrid Spalding, Michael Stonebraker: DataSplash. SIGMOD Conference 1998: 550-552
6. Chitta Baral, Graciela Gonzalez, Tran Cao Son: Design and Implementation of Display Specification for Multimedia Answers. ICDE 1998: 558-565
7. Joseph M. Hellerstein: Online Processing Redux. IEEE Data Eng. Bull. 20(3): 20-29(1997)