Exploratory pattern mining on social media using geo-references and social tagging information

M. Atzmüller, F. Lemmerich
{"title":"Exploratory pattern mining on social media using geo-references and social tagging information","authors":"M. Atzmüller, F. Lemmerich","doi":"10.1504/IJWS.2013.056577","DOIUrl":null,"url":null,"abstract":"This paper presents exploratory pattern mining techniques for describing communities of resources (e.g., images) and for characterising locations of interest. We utilise tagging information and collaborative geo-reference annotations for characterising resources locations by a set of descriptive patterns. The methods are embedded into an interactive approach for mining, browsing and visualising a set of patterns. As an exemplary use case, we focus on the social photo sharing application Flickr. Utilising publicly available real-world data from this platform, we provide a structural evaluation of the automatic approach as well as an exemplary case study for demonstrating the effectiveness and validity of the interactive approach.","PeriodicalId":425045,"journal":{"name":"Int. J. Web Sci.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Web Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJWS.2013.056577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 32

Abstract

This paper presents exploratory pattern mining techniques for describing communities of resources (e.g., images) and for characterising locations of interest. We utilise tagging information and collaborative geo-reference annotations for characterising resources locations by a set of descriptive patterns. The methods are embedded into an interactive approach for mining, browsing and visualising a set of patterns. As an exemplary use case, we focus on the social photo sharing application Flickr. Utilising publicly available real-world data from this platform, we provide a structural evaluation of the automatic approach as well as an exemplary case study for demonstrating the effectiveness and validity of the interactive approach.
利用地理参考和社会标签信息对社交媒体进行探索性模式挖掘
本文提出了探索性模式挖掘技术,用于描述资源群落(例如,图像)和描述感兴趣的位置。我们利用标记信息和协作地理参考注释,通过一组描述性模式来描述资源位置。这些方法被嵌入到一个交互式方法中,用于挖掘、浏览和可视化一组模式。作为一个典型的用例,我们关注社交照片共享应用程序Flickr。利用来自该平台的公开可用的真实世界数据,我们提供了自动方法的结构评估以及示范案例研究,以证明交互式方法的有效性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信