{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/18245"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/18245","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Spatial provenance: A case study on geological carbon sequestration","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Korose, Christopher P."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Geography","degree_department":null,"school":null,"contributors":["Wang, Shaowen"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-01-14T22:41:06Z","date_published":"2011-01-14T22:41:06Z","updated_at":"2026-07-22T22:25:09Z","subjects":["spatial provenance","spatial workflow","lineage","geological carbon sequestration","RDF","SPARQL","Geographic Information System (GIS)"],"languages":["en"],"rights":["Copyright 2010 Christopher P. Korose"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/18245","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Wang, Shaowen"]},{"key":"dc:creator","label":"Author","values":["Korose, Christopher P."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-01-14T22:41:06Z","2010-12"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Geography"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["spatial provenance","spatial workflow","lineage","geological carbon sequestration","RDF","SPARQL","Geographic Information System (GIS)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2010 Christopher P. Korose"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/18245"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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.","Item withdrawn by Rebecca Bryant (rabryant@illinois.edu) on 2010-12-03T17:02:49Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Korose_Christopher.docx: 4257252 bytes, checksum: 7f9b391fc3164299f8935f6957c48c17 (MD5) Korose_Christopher.pdf: 2444870 bytes, checksum: 3086f0d7299c7669425c44c98f84573c (MD5)","Made available in DSpace on 2011-01-14T22:41:06Z (GMT). No. of bitstreams: 3 Korose_Christopher.pdf: 2444870 bytes, checksum: 3086f0d7299c7669425c44c98f84573c (MD5) license.txt: 4066 bytes, checksum: 525cb678dacbdfa58ad40b45b449e4ae (MD5) Korose_Christopher.docx: 4257252 bytes, checksum: 7f9b391fc3164299f8935f6957c48c17 (MD5)"]},{"key":"dc:title","label":"Title","values":["Spatial provenance: A case study on geological carbon sequestration"]}]}],"canonical_facts":{"dc:contributor":["Wang, Shaowen"],"dc:creator":["Korose, Christopher P."],"dc:date":["2011-01-14T22:41:06Z","2010-12"],"dc:description":["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.","Item withdrawn by Rebecca Bryant (rabryant@illinois.edu) on 2010-12-03T17:02:49Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Korose_Christopher.docx: 4257252 bytes, checksum: 7f9b391fc3164299f8935f6957c48c17 (MD5) Korose_Christopher.pdf: 2444870 bytes, checksum: 3086f0d7299c7669425c44c98f84573c (MD5)","Made available in DSpace on 2011-01-14T22:41:06Z (GMT). No. of bitstreams: 3 Korose_Christopher.pdf: 2444870 bytes, checksum: 3086f0d7299c7669425c44c98f84573c (MD5) license.txt: 4066 bytes, checksum: 525cb678dacbdfa58ad40b45b449e4ae (MD5) Korose_Christopher.docx: 4257252 bytes, checksum: 7f9b391fc3164299f8935f6957c48c17 (MD5)"],"dc:identifier":["http://hdl.handle.net/2142/18245"],"dc:language":["en"],"dc:rights":["Copyright 2010 Christopher P. Korose"],"dc:subject":["spatial provenance","spatial workflow","lineage","geological carbon sequestration","RDF","SPARQL","Geographic Information System (GIS)"],"dc:title":["Spatial provenance: A case study on geological carbon sequestration"],"thesis:degree_discipline":["Geography"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:09Z"}