Automating component integration for Web-based data analysis

John Penix, Bernd Fischer, Jon Whittle, Gilda Pour, Jeffery Van Baalen

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

1 Citation (Scopus)


In this paper, we describe a component-based infrastructure for Web-based data analysis applications that reduces the need for custom integration programming. Our vision is that, to construct an application, scientists will give a specification of three kinds of components: the desired data source, a data analysis filter, and a visualization device. From this specification, our infrastructure will automatically generate the desired application. To support this vision, the infrastructure contains an intelligent component integration system (iCIS) that automates component retrieval, adaptation, and integration. Within iCIS, component knowledge is represented using formal mathematical specifications, to provide a common framework for reasoning about problem decomposition, component retrieval and adapter generation. Our current focus is on integration of data analysis filters with online data archives described using XML-based languages. We also discuss how iCIS is integrated with a 3-tier client/server application architecture to support in a heterogeneous and distributed computing environment.

Original languageEnglish
Title of host publication2000 IEEE Aerospace Conference Proceedings
EditorsJoel Serchel
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages9
ISBN (Electronic)0780358465
Publication statusPublished - 2000
Externally publishedYes
EventIEEE Aerospace Conference 2000 - Big Sky, United States of America
Duration: 18 Mar 200025 Mar 2000
Conference number: 41st


ConferenceIEEE Aerospace Conference 2000
Abbreviated titleAeroConf 2020
CountryUnited States of America
CityBig Sky
Internet address

Cite this

Penix, J., Fischer, B., Whittle, J., Pour, G., & Van Baalen, J. (2000). Automating component integration for Web-based data analysis. In J. Serchel (Ed.), 2000 IEEE Aerospace Conference Proceedings (Vol. 4, pp. 465-473). IEEE, Institute of Electrical and Electronics Engineers.