{"id":{"repo_id":"uno","oai_identifier":"oai:scholarworks.uno.edu:td-2527"},"canonical_url":"https://search.dev.ndltd.org/etd/uno/oai:scholarworks.uno.edu:td-2527","repository":{"repo_id":"uno","name":"University of New Orleans","base_url":"https://scholarworks.uno.edu/do/oai/"},"display":{"title":"A Framework to Annotate the Uncertainty for Geospatial Data","abstract":"<p>We have developed a new approach to annotate the uncertainty information of geospatial data. This framework is composed of a geospatial platform and the data with uncertainty. The framework supports geospatial sources such as Geography Markup Language (GML) with uncertainty information. The purpose of this framework is to integrate the uncertainty information of data from the application users and thereby ease the development of processing uncertainty information of geospatial data. Having well organized data and using this framework, the end-users can store the uncertainty information on the current geospatial data structure. For example, a GIS user can share the error information for environmental and geospatial data to others. We have also reported the enhanced geographic information system function.</p>","abstract_html":"&lt;p&gt;We have developed a new approach to annotate the uncertainty information of geospatial data. This framework is composed of a geospatial platform and the data with uncertainty. The framework supports geospatial sources such as Geography Markup Language (GML) with uncertainty information. The purpose of this framework is to integrate the uncertainty information of data from the application users and thereby ease the development of processing uncertainty information of geospatial data. Having well organized data and using this framework, the end-users can store the uncertainty information on the current geospatial data structure. For example, a GIS user can share the error information for environmental and geospatial data to others. We have also reported the enhanced geographic information system function.&lt;/p&gt;","abstract_has_math":false,"creators":["Yang, Zhao"],"institution":null,"degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Mahdi Abdelguefi","Shengru Tu","Golden Richard III"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-08-02T07:00:00Z","date_published":"2012-08-02T07:00:00Z","updated_at":"2026-07-24T05:29:36Z","subjects":["Geospatial Information System, Geospatial Markup Language, Uncertainty, Framework, Grid","Software Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.uno.edu/td/1528","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Mahdi Abdelguefi","Shengru Tu","Golden Richard III"]},{"key":"dc:creator","label":"Author","values":["Yang, Zhao"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2013-08-02T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Geospatial Information System, Geospatial Markup Language, Uncertainty, Framework, Grid","Software Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.uno.edu/td/1528"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>We have developed a new approach to annotate the uncertainty information of geospatial data. This framework is composed of a geospatial platform and the data with uncertainty. The framework supports geospatial sources such as Geography Markup Language (GML) with uncertainty information. The purpose of this framework is to integrate the uncertainty information of data from the application users and thereby ease the development of processing uncertainty information of geospatial data. Having well organized data and using this framework, the end-users can store the uncertainty information on the current geospatial data structure. For example, a GIS user can share the error information for environmental and geospatial data to others. We have also reported the enhanced geographic information system function.</p>"]},{"key":"dc:title","label":"Title","values":["A Framework to Annotate the Uncertainty for Geospatial Data"]}]}],"canonical_facts":{"dc:contributor":["Mahdi Abdelguefi","Shengru Tu","Golden Richard III"],"dc:creator":["Yang, Zhao"],"dc:date.available":["2013-08-02T07:00:00Z"],"dc:description.abstract":["<p>We have developed a new approach to annotate the uncertainty information of geospatial data. This framework is composed of a geospatial platform and the data with uncertainty. The framework supports geospatial sources such as Geography Markup Language (GML) with uncertainty information. The purpose of this framework is to integrate the uncertainty information of data from the application users and thereby ease the development of processing uncertainty information of geospatial data. Having well organized data and using this framework, the end-users can store the uncertainty information on the current geospatial data structure. For example, a GIS user can share the error information for environmental and geospatial data to others. We have also reported the enhanced geographic information system function.</p>"],"dc:identifier":["https://scholarworks.uno.edu/td/1528"],"dc:subject":["Geospatial Information System, Geospatial Markup Language, Uncertainty, Framework, Grid","Software Engineering"],"dc:title":["A Framework to Annotate the Uncertainty for Geospatial Data"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."]},"updated_at":"2026-07-24T05:29:36Z"}