Title: Developing Advanced Technologies for MUDROD (Mining and Utilizing Dataset Relevancy from Oceanographic Data) to Advance Data Discovery
Presenting Author: Chaowei (Phil) Yang
Organization: George Mason University
Co-Author(s): Yongyao Jiang, Jizhe Xia, and Kai Liu - George Mason University; Edward Armstrong, Thomas Huang, David Moroni, JPL

Abstract:
Precisely discovering datasets of interest to research and other usage is a sought-after capability for Earth sciences in the 21st century. The Geosearch (geosearch.cloudapp.net) was developed as one of the first tools to address this need. I will present the Geosearch tool and relevant technologies developed in the past years: a) a semantic-and-ontology based reasoning and ranking mechanism was built to rank results based on meaning of free text searching keywords, b) quality of services was developed to improve the ranking based on stability of data and other online services, c) categorization for a specific domain was developed to serve targeted user community, and d) online visualization and interactions were developed to enrich end user experiences. While being used to support polar research domain and GEO community, the technologies will be further advanced by integrating profile mining and context-based reasoning to improve the tool for Earth sciences with a focus on the oceanographic domain. This NASA AIST funded effort will both advance the technology and serve NASA and non-NASA data systems for better data discovery.