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首页> 外文会议>DASFAA 2010;International conference on database systems for advances applications;International workshop on graph data management: Techniques and application;GDM 2010;International workshop on benchmarking of database management systems and data-oriented web technologies;BenchmarX 2010;International workshop on managing data quality in collaborative information systems;MCIS 2010;Workshop on social networks and social media mining on the web;SNSMW 2010;Data-intensive eScience workshop;DIEW 2010;International workshop on ubiquitous data management;UDM 2010 >Tag Disambiguation through Flickr and Wikipedia
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Tag Disambiguation through Flickr and Wikipedia

机译：通过Flickr和Wikipedia标记歧义消除

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摘要

Given the popularity of social tagging systems and the limitations these systems have, due to lack of any structure, a common issue that arises involves the low retrieval quality in such systems due to ambiguities of certain terms. In this paper, an approach for improving the retrieval in these systems, in case of ambiguous terms, is presented that attempts to perform tag disambiguation and, at the same time, provide users with relevant content. The idea is based on a mashup that combines data and functionality of two major web 2.0 sites, namely Flickr and Wikipedia and aims at enhancing content retrieval for web users. A case study with the ambiguous notion 'Apple' illustrates the value of the proposed approach.
机译：考虑到社交标签系统的普及以及这些系统由于缺乏任何结构而受到的限制，由于某些术语的歧义性，出现的常见问题涉及此类系统中的检索质量低下。在本文中，提出了一种在术语不明确的情况下改进这些系统中检索的方法，该方法试图执行标签歧义消除，同时为用户提供相关内容。这个想法是基于一个将两个主要Web 2.0站点（即Flickr和Wikipedia）的数据和功能结合在一起的mashup，旨在增强Web用户的内容检索。带有模糊概念“苹果”的案例研究说明了该方法的价值。

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