HR: 10:20h
AN: OS52A-01    [Abstracts]
TI: An Information Infrastructure for Coastal Models and Data
AU: * Hardin, D
EM: dhardin@itsc.uah.edu
AF: University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL 35899,
AU: Keiser, K
EM: kkeiser@itsc.uah.edu
AF: University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL 35899,
AU: Conover, H
EM: hconover@itsc.uah.edu
AF: University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL 35899,
AU: Graves, S
EM: sgraves@itsc.uah.edu
AF: University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL 35899,
AB: Advances in semantics and visualization have given rise to new capabilities for the location, manipulation, integration, management and display of data and information in and across domains. An example of these capabilities is illustrated by a coastal restoration project that utilizes satellite, in-situ data and hydrodynamic model output to address seagrass habitat restoration in the Northern Gulf of Mexico. In this project a standard stressor conceptual model was implemented as an ontology in addition to the typical CMAP diagram. The ontology captures the elements of the seagrass conceptual model as well as the relationships between them. Noesis, developed by the University of Alabama in Huntsville, is an application that provides a simple but powerful way to search and organize data and information represented by ontologies. Noesis uses domain ontologies to help scope search queries to ensure that search results are both accurate and complete. Semantics are captured by refining the query terms to cover synonyms, specializations, generalizations and related concepts. As a resource aggregator Noesis categorizes search results returned from multiple, concurrent search engines such as Google, Yahoo, and Ask.com. Search results are further directed by accessing domain specific catalogs that include outputs from hydrodynamic and other models. Embedded within the search results are links that invoke applications such as web map displays, animation tools and virtual globe applications such as Google Earth. In the seagrass prioritization project Noesis is used to locate information that is vital to understanding the impact of stressors on the habitat. This presentation will show how the intelligent search capabilities of Noesis are coupled with visualization tools and model output to investigate the restoration of seagrass habitat.
DE: 4217 Coastal processes
SC: Ocean Sciences [OS]
MN: 2007 Fall Meeting