Semantic Technologies for Environmental Data Automation
Explore the ELSeWEB project aiming to automate manual processes, track data sources, and understand vast datasets in Earth and life sciences using semantic technologies. Discover how Cyber-ShARE is advancing knowledge integration through Semantic Automated Discovery and Integration (SADI) services. Provenance features ensure transparency in data analysis paths.
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Presentation Transcript
EARTH, LIFE, AND SEMANTIC WEB (ELSeWEB) Deana Pennington, University of Texas at El Paso In collaboration with: Natalia Villanueva Nick Del Rio Jim Beach Aimee Stewart CJ Grady Karl Benedict Soran Scott Bill Hudspeth UTEP UTEP University of Kansas KU KU University of New Mexico UNM UNM NASA ACCESS Award #NNX12AF45A
ELSeWeb Goals EARTH LIFE Manual MODELS Lifemapper Species Distribution Model DATA Earth Data Analysis Center (EDAC) KNOWLEDGE -BASED AUTOMATIO N Cyber-ShARE SEMANTIC WEB Questions of interest: How to automate manual process? How to keep track of data sources and analysis paths? How to understand voluminous datasets used & generated?
Metadata Standards Published Web Services Published Web Services Lifemapper Species Distribution Model Earth Data Analysis Center (EDAC) Many Datasets NASA & others IPCC climate change & Others Occurrence IPCC & others Species EARTH LIFE
Questions of interest: How to automate manual process? Semantic technologies How to keep track of data sources and analysis paths? How to understand voluminous datasets generated? Cyber- ShARE WORKING DEMO Knowledge Base SADI ShARE Published 1 Web Service Semantic Automated Discovery & Integration (SADI) Services Semantic annotation of Service inputs and outputs Service wrappers Semantic Service Orchestration Published Web Services Published Web Services Lifemapper Species Distribution Models Earth Data Analysis Center (EDAC) SEMANTIC WEB EARTH LIFE
Questions of interest: How to automate manual process? Semantic technologies How to keep track of data sources and analysis paths? Provenance How to understand voluminous datasets generated? Cyber- ShARE MOCKED UP DEMO Knowledge Base SADI ShARE Overall WebProbe Provenance provenance using PROV Standard + Extensions in PML3 Published 1 Web Service Provenance Provenance Provenance Published Web Services Published Web Services Lifemapper Species Distribution Models SEMANTIC WEB Earth Data Analysis Center (EDAC) EARTH LIFE
Questions of interest: How to automate manual process? Semantic technologies How to keep track of data sources and analysis paths? Provenance How to understand voluminous datasets generated? Visual Analytics Cyber- ShARE Knowledge Base SADI Share Overall WebProbe Provenance provenance using PROV Standard + Extensions in PML3 Published 1 Web Service Semantic Service Orchestration This proposal: Visualization Next proposal: Visual Analytics Published Web Services Published Web Services Lifemapper Species Distribution Models QGIS VisKo Earth Data Analysis Center (EDAC) LM Output Input Data ELSEWEB
EARTH, LIFE, AND SEMANTIC WEB (ELSeWEB) POSTER SESSION TABLETOP DEMOS EDAC Data Services Lifemapper Model & Analytical Services Cyber-ShARE Semantic Services ELSeWeb DEMO: 5:30 PM Nick Del Rio NASA ACCESS Award #NNX12AF45A
