DocumentCode
2062026
Title
Semantic Annotation of Street-Level Geospatial Entities
Author
Blaylock, Nate
Author_Institution
Florida Inst. for Human & Machine Cognition (IHMC), Ocala, FL, USA
fYear
2011
fDate
18-21 Sept. 2011
Firstpage
444
Lastpage
448
Abstract
In this paper, we describe the PURSUIT Corpus - an annotated corpus of geospatial path descriptions in spoken natural language. PURSUIT includes the spoken path descriptions along with a synchronized GPS track of the path actually taken. Additionally, we have manually annotated geospatial entity mentions in PURSUIT, mapping them onto point entries in several geographic information system databases. PURSUIT has been made freely available for download.
Keywords
Global Positioning System; geographic information systems; natural language processing; semantic Web; visual databases; PURSUIT corpus; geographic information system databases; geospatial entity mentions; geospatial path descriptions; semantic annotation; spoken natural language; street level geospatial entities; synchronized GPS track; Business; Databases; Geospatial analysis; Global Positioning System; Google; Roads; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
Conference_Location
Palo Alto, CA
Print_ISBN
978-1-4577-1648-5
Electronic_ISBN
978-0-7695-4492-2
Type
conf
DOI
10.1109/ICSC.2011.53
Filename
6061499
Link To Document