Frequency and Proximity Clustering Analyses for Georeferencing Toponyms and Points-Of-Interest Names from a Travel Journal

Simple item page
dc.contributor.advisorRice, Matthew
dc.contributor.authorMcDermott, Scott D.
dc.creatorMcDermott, Scott D.
dc.date.accessioned2018-10-22T01:19:50Z
dc.date.available2018-10-22T01:19:50Z
dc.date.issued2017
dc.description.abstractThis research study uses geographic information retrieval (GIR) to georeference toponyms and points-of-interest (POI) names from a travel journal. Travel journals are an ideal data source with which to conduct this study because they are significant accounts specific to the author’s experience, and contain geographic instances based on the experiences made at a specific time and location along a traversed route of a trip. Using a travel journal, toponyms and POI names are georeferenced to locate where the author visited or what the author observed along a travel path. GIR relies on algorithms to maximize the georeferencing of spatially sensitive data while minimizing issues related to semantic ambiguities, which can incorrectly place geographic content due to shared names by other geographic or non-geographic contents.
dc.format.extent200 pages
dc.identifier.urihttps://hdl.handle.net/1920/11256
dc.language.isoen
dc.rightsCopyright 2017 Scott D. McDermott
dc.subjectGeographic information science and geodesy
dc.subjectInformation science
dc.subjectGazetteers
dc.subjectGeographic information retrieval
dc.subjectGeoreferencing
dc.subjectPoints-of-interest names
dc.subjectText-based information retrieval
dc.subjectToponyms
dc.titleFrequency and Proximity Clustering Analyses for Georeferencing Toponyms and Points-Of-Interest Names from a Travel Journal
dc.typeDissertation
thesis.degree.disciplineEarth Systems and Geoinformation Sciences
thesis.degree.grantorGeorge Mason University
thesis.degree.levelPh.D.

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
McDermott_gmu_0883E_11486.pdf
Size:
9.17 MB
Format:
Adobe Portable Document Format
Download

Collections

College of Science