Abstract
Volunteered geographic information (VGI), which pertains to geographic information voluntarily collected and shared, represents a paradigm shift in the way geographic information is created and shared. However, there are still hurdles in properly using such information. One alternative to improve the use of VGI is to use semantic enrichment. Semantic enrichment is a potential way of mitigating several issues that plague VGI such as low data quality, unreliability, and difficulty in use and recovery, among others. The present study discusses the possibility of semantically enriching volunteered geographic data using Linked Data and presents a simplified algorithm to automate this process.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
