Article

Towards automatic extraction of event and place semantics from flickr tags

Authors:

Tye Rattenbury,

Nathaniel Good,

Mor NaamanAuthors Info & Claims

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 103 - 110

https://doi.org/10.1145/1277741.1277762

Published: 23 July 2007 Publication History

Abstract

We describe an approach for extracting semantics of tags, unstructured text-labels assigned to resources on the Web, based on each tag's usage patterns. In particular, we focus on the problem of extracting place and event semantics for tags that are assigned to photos on Flickr, a popular photo sharing website that supports time and location (latitude/longitude) metadata. We analyze two methods inspired by well-known burst-analysis techniques and one novel method: Scale-structure Identification. We evaluate the methods on a subset of Flickr data, and show that our Scale-structure Identification method outperforms the existing techniques. The approach and methods described in this work can be used in other domains such as geo-annotated web pages, where text terms can be extracted and associated with usage patterns.

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Index Terms

Towards automatic extraction of event and place semantics from flickr tags
1. Mathematics of computing
  1. Information theory

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Published In

cover image ACM Conferences

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

July 2007

946 pages

ISBN:9781595935977

DOI:10.1145/1277741

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

Copyright © 2007 ACM.

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Publication History

Published: 23 July 2007

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July 23 - 27, 2007

Amsterdam, The Netherlands

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Fazal NFränti P(2024)Social media data for content creation in location-based gamesJournal of Location Based Services10.1080/17489725.2024.2414000(1-28)Online publication date: 30-Oct-2024
https://doi.org/10.1080/17489725.2024.2414000
Pal AWang JWu YKant KLiu ZSato K(2023)Social Media Driven Big Data Analysis for Disaster Situation Awareness: A TutorialIEEE Transactions on Big Data10.1109/TBDATA.2022.31584319:1(1-21)Online publication date: 1-Feb-2023
https://doi.org/10.1109/TBDATA.2022.3158431
Anwar AKanwal STahir MSaqib MUzair MRahmani MUllah H(2022)Image Aesthetic Assessment: A Comparative Study of Hand-Crafted & Deep Learning ModelsIEEE Access10.1109/ACCESS.2022.320919610(101770-101789)Online publication date: 2022
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Chen MArribas-Bel DSingleton A(2020)Quantifying the Characteristics of the Local Urban Environment through Geotagged Flickr Photographs and Image RecognitionISPRS International Journal of Geo-Information10.3390/ijgi90402649:4(264)Online publication date: 19-Apr-2020
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