Semantic Abstract Workflows

Namesort icon Description Keyword(s) Point(s) of Contact
Third Provenance Challenge SAW

The Third Provenance Challenge workshop had the goals of: 1) identify the weaknesses and strengths of the Open Provenance Model (OPM), 2) encourage the development of concrete bindings for OPM, and 3) determine how well OPM can represent provenance for a variety of technologies. This abstract workflow represents our efforts to address the challenge posted for this version of the workshop. More information about the workshop can be found at:

Crustal Modeling SAW

Abstract workflow about the process of creating a 2D crustal model of the subsurface of the Earth. The process uses receiver function data, gravity data, and magnetic data to create the model. The field of application is Geophysics. This process was originally documented by Dr. Randy Keller, and later refined by Dr. Musa Hussein.

crustal model
receiver function
Contour Map Creation

This abstract workflow describes the process of creating a contour map from gravity or magnetic georeferenced dataset.

contour map
Eddy Covariance SAW

Abstract workflow that describes the application of the Eddy Covariance process to monitor carbon, energy, and water balance in the environment.

Eddy Covariance
Quick Look SAW

Semantic abstract to model the process of creating a GIF image from data coming from the CHIP instrument. This is an automated process refered to as Quick Look.

solar physics
virtual observatory
Data Fusion project SAW

The geo-subproject of the Cybershare center is taking on the challenge of creating models of the Earth from diverse data sources that have different properties such as resolution and uncertainty. This semantic- abstract workflow models the process of collaboration among the team members of this project, who come from different areas of expertise.

data fusion
computational mathematics
computer science
Hole's Code SAW v0.1

A semantic abstract workflow to describe the process referred to as Hole's Code. Hole's Code is a non-linear tomography inversion procedure and a finite-difference calculation that uses observed travel-times of seismic waves to contruct velocity models of the Earth's crust.

velocity model
Reflectance Data Gathering SAW

An abstract workflow about the process of gathering reflectance data from multiple tram lines. This process is also informally referred to as "Santonu's Process".

The Workflow Driven Ontology of the Reflectance Data Gathering process run by Santonu Goswami, has as main methods the collection of raw data files (Collect_Raw_Files): this is the process of running the robotic tram line and making reflectance measurements; the quality assurance and control of the data (QA_QC): this is run by a program that analyzes the raw data and says if the collected reflectance data is correct by generating a quality flag; the use of Multispec (Multispec): this process is done in a program developed at Purdue University used to analyze multispectral and hyperspectral data. It merges raw data files when the quality assurance and control has been passed; and the generation of graphics to interpret the results (Plot_Files), this is done by the scientist using Excel. The main data inputs and outputs for these methods are the raw data files (rawDataFiles), which contain radiance and irradiance measurements; the merged data file (mergedDatafiles), which is the output of Multispec; the quality flag (quality_flag), it is used to classify if the data is good enough to be used or not; the visualization file (visualization_file) is a graphic where the scientist can interpret the results.

data gathering