Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Reverse geocoding for photo captioning with a meta-gazetteer

Tanasescu, Vlad, Smart, Philip David and Jones, Christopher Bernard ORCID: https://orcid.org/0000-0001-6847-7575 2014. Reverse geocoding for photo captioning with a meta-gazetteer. Presented at: ACM-SIGSPATIAL 2014, Dallas, Texas, USA, 4th November 2014. SIGSPATIAL '14 Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York: Association for Computing Machinery, pp. 509-512. 10.1145/2666310.2666492

[thumbnail of ReverseGeocodingTanasescuSmartJones.pdf]
Preview
PDF - Accepted Post-Print Version
Download (161kB) | Preview

Abstract

Gazetteers play an essential role in GIS in translating between place name and coordinate-based descriptions of location. The proliferation of location-aware social media applications has led to new sources of gazetteer data, many of which are crowd-sourced. They complement the conventional authoritative resources that are typically linked to published map products. We illustrate the variation in performance of several, mostly social media based, gazetteer resources for a reverse-geocoding photo captioning task and demonstrate the advantage of a meta-gazetteer service that integrates multiple individual gazetteer resources and employs several toponym ranking methods.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Association for Computing Machinery
ISBN: 978-1-4503-3131-9
Date of First Compliant Deposit: 30 March 2016
Last Modified: 29 Sep 2023 01:08
URI: https://orca.cardiff.ac.uk/id/eprint/67994

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics