T263 Geoinformatics in Action (Posters)

Wednesday, 12 October 2011
9:00 AM - 6:00 PM
Hall C

A SERVICE ORIENTED WEB-BASED SYSTEM FOR FINDING AND RETRIEVING GEOLOGICAL DATA

Paper number: T263-10
Program: Technical Sessions
Time: 9:00 AM – 6:00 PM

Authors

Abstract

Mercury http://mercury.ornl.gov is a set of tools for federated harvesting, searching, and retrieving biogeochemical metadata. Mercury toolset provides orders of magnitude improvements in search speed, support for additional metadata formats, integration with Google Maps for spatial queries, facetted type search, support for RSS (Really Simple Syndication) delivery of search results, and enhanced customization to meet the needs of the multiple projects that use Mercury. It provides a single portal to very quickly search for data and information contained in disparate data management systems, each of which may use different metadata formats including FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115. Mercury harvests metadata and key data from contributing project servers distributed around the world and builds a centralized index. The search interfaces then allow the users to perform a variety of fielded, spatial, and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data. Mercury is being used in 14 different projects across 4 federal agencies. It was originally developed for NASA, with continuing development funded by NASA, USGS, and DOE for a consortium of projects.

References:

[1] R. Devarakonda, G. Palanisamy, B. E. Wilson, J. M. Green, “Mercury: reusable metadata management, data discovery and access system, Mercury: reusable metadata management, data discovery and access system”, Earth Science Informatics, v.3 n.1, p.87-94, 2010

[2] R. Devarakonda, G. Palanisamy, J. M. Green, B. E. Wilson, “Data sharing and retrieval using OAI-PMH”, Earth Science Informatics, v.4 n.1, p.1-5, 2010

[3] R. Devarakonda, G. Palanisamy, J. Green, “Next-Generation Search Engines for Information Retrieval”, International Journal of Software Engineering (IJSE), v.2, n.1, p.131, 2011