]> 2012-02-11T01:45:09-05:00 A semantic web-based methodology for building conceptual models of scientific information We have designed, developed, and deployed a number of applications that leverage ontologies in interdisciplinary scientific applications. As our work has evolved, we have developed a methodology for leveraging semantic technologies as kind of methodology for building and deploying semantically-enhanced science community applications. We will present our semantic web methodology that has been used in science applications covering Solar Terrestrial Physics, Atmospheric Research, Volcanology, and Plate Tectonics applications, among others. The methodology includes use case generation, carefully chosen mixed skill-set teams, use case analysis, development of a conceptual model, semantic tool usage, expert review and iteration, leveraging of technological infrastructure, rapid prototyping, and open world evolution, iteration, redesign, and redeployment. In this presentation, we will show how the methodology has been used in our projects and highlight benefits including quick deployment and rapid community buy-in. inproceedings American Geophysical Union, Fall Meeting (AGU2007) benedict2007a A Semantic Web-based Methodology for Building Conceptual Models of Scientific Information 2007 Year Title Natural science Tag Eos Trans. AGU 88(52), Fall Meet. Suppl., Abstract IN53A-0950 Note December Month Key Booktitle Bibtype Peter Fox Deborah L. McGuinness James L. Benedict Author San Francisco, Ca. Address Abstract Publication Proceeding Paper Conference Paper