Straightforward Approaches to Integrating Heterogeneous Data Systems

Details Straightforward Approaches to Integrating Heterogeneous Data Systems Straightforward Approaches to Integrating Heterogeneous Data Systems

May 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agusmsh42a..04d&link_type=abstract

American Geophysical Union, Spring Meeting 2005, abstract #SH42A-04

Other

2499 General Or Miscellaneous, 2799 General Or Miscellaneous, 7599 General Or Miscellaneous, 9810 New Fields (Not Classifiable Under Other Headings), 9820 Techniques Applicable In Three Or More Fields

Scientific paper

The explosive growth of virtual observatory (VO) projects shows that there is an untapped need for single systems that make it easy to search for, access, and analyze data and resources from highly disparate data systems. Many current VO projects require either conversion to a unified data format or data model, or mandate an exact metadata matchup. Both of these alternatives can be extremely time consuming, complex, error-prone and expensive, particularly when applied to a wide variety of disparate data and services. In addition, few VO projects address the integration of not only data but also available services such as specialized query interfaces. For these VO projects, the huge effort required for data system integration is a significant barrier to success. To solve these problems, an innovative approach to interoperability must be implemented. By utilizing a 'loosely-coupled' approach we can greatly reduce the effort required for integration of both data and services. Instead of precise one-to-one mapping of the data models, we do loosely coupled matches using commonly understood scientific concepts. This method requires little or no changes to the systems themselves. We then extend our loosely-coupled philosophy into the integration of services, not through an intensive reworking of heritage data system interfaces, but through the use of minimally invasive but very powerful web services. This enables us to leverage existing data system capabilities and integrate remote interfaces into a single system. Because of the relative ease of data system integration in our design, not only data systems, but even the data and services of VOs themselves, can be integrated, making meta-VO systems within the realm of possibility. Additional information and a demonstration of our approach can be found at http://sras.jhuapl.edu.

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