Toponym disambiguation in online social network profiles

Mohammad Ghufran, Gianluca Quercini, N. Bennacer
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引用次数: 7

Abstract

In online social networks individuals are given the option to reveal on their online profiles some personal information about themselves including, among others, their home location that, if specified, is typically referred to with a toponym. A toponym disclosed by an individual on her profile, or self-reported toponym (e.g., "London"), is often ambiguous and may be interpreted as the name of different geographic locations ("London, U.K.", "London, Ontario, Canada", "London, Arkansas, USA"). The determination of the right interpretation of a self-reported toponym is challenging because the profile of an individual usually lacks the contextual information that can be used to disambiguate the toponym. In this paper, we propose LocusRank, an algorithm for the disambiguation (or resolution) of the self-reported toponyms in online social network profiles. More precisely, LocusRank chooses the right interpretation of a self-reported toponym of an individual by using the (possibly ambiguous) self-reported toponyms of her friends. Besides, LocusRank can also be used to infer with good accuracy the home location of profiles that do not even have a self-reported toponym. We evaluated LocusRank with good results on a dataset of profiles obtained from two real social networks, namely Flickr and LiveJournal.
在线社交网络档案中的地名歧义消除
在在线社交网络中,个人可以选择在他们的在线档案中透露一些关于他们自己的个人信息,其中包括他们的家庭位置,如果指定的话,通常用地名指代。个人在个人资料中披露的地名,或自我报告的地名(例如“伦敦”),通常是模棱两可的,可能被解释为不同地理位置的名称(“英国伦敦”、“加拿大安大略伦敦”、“美国阿肯色州伦敦”)。对自我报告的地名的正确解释的确定是具有挑战性的,因为个人资料通常缺乏可用于消除地名歧义的上下文信息。在本文中,我们提出LocusRank算法,用于在线社交网络个人资料中自我报告的地名消歧(或解决)。更准确地说,LocusRank通过使用她朋友的(可能模棱两可的)自我报告的地名来选择对个人自我报告的地名的正确解释。此外,LocusRank还可以用来很准确地推断甚至没有自我报告的地名的概要文件的主位置。我们在两个真实的社交网络Flickr和LiveJournal的个人资料数据集上对LocusRank进行了评估,结果很好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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