Spatial provenance: A case study on geological carbon sequestration

Korose, Christopher P.

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https://hdl.handle.net/2142/18245 Copy

Description

Title

Spatial provenance: A case study on geological carbon sequestration

Author(s)

Korose, Christopher P.

Issue Date

2011-01-14T22:41:06Z

Director of Research (if dissertation) or Advisor (if thesis)

Wang, Shaowen

Department of Study

Geography

Discipline

Geography

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• spatial provenance
• spatial workflow
• lineage
• geological carbon sequestration
• RDF
• SPARQL
• Geographic Information System (GIS)

Abstract

The collection, preservation, and accessibility of detailed lineage information derived from the handling of spatial data—spatial provenance—requires effective management of transformational workflows and associated metadata for workflow components. The spatial provenance model presented in this thesis captures important information for understanding spatial data lineage and related data transformation tasks that are chained together in operational workflows. This research has led to the development of an integrated solution for capturing and managing spatial provenance by interfacing with, and building upon, existing geographic information systems (GIS) software. The challenge of organizing, storing, and ultimately accessing spatial provenance information is tackled by exploiting semantic representations and database technologies to enable the comparison of alternative and/or historical iterations of spatial data processing workflows. Using a case study based on geological carbon sequestration research, this thesis examines source data revisions and updates to a spatial analysis over time. Experiments in tracking the spatial propagation of potential errors and comparing temporal attributes of alternative workflows of processing spatial data verify the effectiveness of the spatial provenance model and its implementation based on semantic representation and query. The case study and experiments serve as a proof-of-concept scenario to demonstrate the benefits of a provenance-enhanced spatial analytical workflow framework. This spatial provenance approach is built upon general components and principles of GIS software that can be scaled to handle massive data sets and support collaborative workflow tasks.

Graduation Semester

2010-12

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http://hdl.handle.net/2142/18245

Copyright and License Information

Copyright 2010 Christopher P. Korose

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