Title :
Semantic Annotation of Street-Level Geospatial Entities
Author_Institution :
Florida Inst. for Human & Machine Cognition (IHMC), Ocala, FL, USA
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;
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
DOI :
10.1109/ICSC.2011.53
