By Topic

Semantics-Enabled Knowledge Management for Global Earth Observation System of Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
S. Durbha ; Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS ; R. King ; V. Shah ; N. Younan

The Global Earth Observation System of Systems (GEOSS) is a distributed system of systems built on current international cooperation efforts among existing Earth observing and processing systems. The goal is to formulate an end-to-end process that enables the collection and distribution of accurate, reliable Earth Observation data, information, products, and services to both suppliers and consumers worldwide. Earth Observations (EO) are obtained from a multitude of sources and requires tremendous efforts and coordination among different agencies and user groups to come to a shared understanding on a set of concepts involved in a domain. Semantic metadata plays a crucial role in resolving the differences in meaning, interpretation, usage of the same or related data. Also the knowledge about the geopolitical background of the originating datasets could be encoded in the metadata that would address the diversity on a global scale. In distributed environments like GEOSS modularization is inevitable. In this paper we propose a framework for modular ontologies based knowledge management approach for GEOSS in which we explore approaches on formulating smaller interconnected ontologies. This analysis is exercised in a coastal zone domain.

Published in:

2006 IEEE International Symposium on Geoscience and Remote Sensing

Date of Conference:

July 31 2006-Aug. 4 2006