Integrating Complex Services into Future Virtual Observatories

Details Integrating Complex Services into Future Virtual Observatories Integrating Complex Services into Future Virtual Observatories

May 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agusmsh51b..15w&link_type=abstract

American Geophysical Union, Spring Meeting 2005, abstract #SH51B-15

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

One of the key capabilities that is required for Virtual Observatories for the ITM and other domains is the integration of high-level services such as search services into their design. Future systems need to work cross-mission and possibly cross-domain, and as Virtual Observatories from one domain tie into the Virtual Observatories of other domains, many possible levels of integration may be required. In addition, as the proliferation of Web Services continues, more and more powerful science capabilities are rapidly becoming easily available. These new capabilities go well beyond the garden variety `get me data' types of services, and should be fully integrated in order to exploit their full potential. Here we present the integration of several types of services into a prototype Virtual Observatory (VO). Key to this demonstration is the integration of an external search engine to enhance the native search capabilities of the VO. We utilize the Scientific Resource Access System (SRAS), http://sras.jhuapl.edu, which we have developed for accessing multidiscipline and cross-domain data sets from a wide variety of data servers. The enhanced search services come from the Space Physics Data Markup Language (SPDML) web site, http://sd-www.jhuapl.edu/SPDML; a prototype system for a metadata rich standard method for expressing Space Physics datasets utilizing XML. This integration shows the high-level integration necessary for connecting together domain specific Virtual Observatories. In addition, we demonstrate a wide variety of other levels of connectivity that a typical VO must employ to find and deliver data to the user.
http://sd-www.jhuapl.edu/SPDML

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