A Geospatial Semantic Enrichment and Query Service for Geotagged Photographs

Sensors

Andrew Ennis³  Chris Nugent³  Philip Morrow²  Liming Chen¹  George Ioannidis⁴  Alexandru Stan⁴  Preslav Rachev⁴ 

[1] School of Computer Science and Informatics, De Montfort University, Leicester LE19BH, UK; E-Mail:;School of Computing and Information Engineering, University of Ulster, Coleraine BT521SA, UK; E-Mail:;School of Computing and Mathematics, University of Ulster, Coleraine BT370QB, UK; E-Mail:;IN2 Search Interfaces Development Ltd., 22 Forth Street, Edinburgh EH13LH, UK; E-Mails:

关键词: geospatial;    Semantic;    media enrichment;    ontology;    photograph;    API;   

DOI  :  10.3390/s150717470

来源: mdpi

【 摘 要 】

With the increasing abundance of technologies and smart devices, equipped with a multitude of sensors for sensing the environment around them, information creation and consumption has now become effortless. This, in particular, is the case for photographs with vast amounts being created and shared every day. For example, at the time of this writing, Instagram users upload 70 million photographs a day. Nevertheless, it still remains a challenge to discover the “right” information for the appropriate purpose. This paper describes an approach to create semantic geospatial metadata for photographs, which can facilitate photograph search and discovery. To achieve this we have developed and implemented a semantic geospatial data model by which a photograph can be enrich with geospatial metadata extracted from several geospatial data sources based on the raw low-level geo-metadata from a smartphone photograph. We present the details of our method and implementation for searching and querying the semantic geospatial metadata repository to enable a user or third party system to find the information they are looking for.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.