Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
3-2010
Abstract
We present the design of Symphony, a platform that enables non-developers to build and deploy a new class of search-driven applications that combine their data and domain expertise with content from search engines and other web services. The Symphony prototype has been built on top of Microsoft's Bing infrastructure. While Symphony naturally makes use of the customization capabilities exposed by Bing, its distinguishing feature is the capability it provides to the application creator to combine their proprietary data and domain expertise with content obtained from Bing. They can also integrate specialized data obtained from web services to enhance the richness of their applications. Finally, Symphony is targeted at non-developers and provides cloud services for the creation and deployment of applications.
Keywords
Web services, search engines, Microsoft Bing infrastructure, Symphony platform, cloud services, search-driven applications, Advertising, Cloud computing, Indexing, Motion pictures, Prototypes, Uniform resource locators, Web search
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
2010 IEEE 26th International Conference on Data Engineering (ICDE): Long Beach, CA, March 1-6: Proceedings
First Page
1189
Last Page
1192
ISBN
9781424454457
Identifier
10.1109/ICDE.2010.5447767
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
SHAFER, John C.; AGRAWAL, Rakesh; and LAUW, Hady W..
Symphony: A Platform for Search-Driven Applications. (2010). 2010 IEEE 26th International Conference on Data Engineering (ICDE): Long Beach, CA, March 1-6: Proceedings. 1189-1192.
Available at: https://ink.library.smu.edu.sg/sis_research/1502
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.ieeecomputersociety.org/10.1109/ICDE.2010.5447767
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons