The Semantic Web: ESWC 2011 Workshops
The Semantic Web: ESWC 2011 Workshops
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语义网：ESWC 2011 研讨会
DOI：
10.1007/978-3-642-25953-1
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
G. Antoniou
中科院分区：
文献类型：
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作者：
R. García;D. Fensel;G. Antoniou
Twitter是当今社交网络上最受欢迎的微博服务。当人们讨论各种新鲜话题时，推特消息(Tweet)可以告诉用户当前的兴趣和担忧。在本文中，我们介绍了TUMS，一个基于Twitter的用户建模服务，它从人们在Twitter上发布的消息中推断出语义用户配置文件。它具有推文的主题检测和实体提取功能，并允许通过将推文链接到描述推文上下文的新闻文章来进一步丰富内容。TUMS作为Web应用程序公开可用。它允许最终用户以结构化的方式概述基于Twitter的个人资料，并允许他们查看用户在特定时间点对哪些主题或实体感兴趣。此外，它以RDF格式提供基于Twitter的用户配置文件，并允许应用程序合并这些配置文件，以便根据用户当前的兴趣调整其功能。TUMS可通过以下方式获得：http://wis.ewi.tudelft.nl/tums/
Twitter is today’s most popular micro-blogging service on the Social Web. As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user. In this paper, we introduce TUMS, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter. It features topic detection and entity extraction for tweets and allows for further enrichment by linking tweets to news articles that describe the context of the tweets. TUMS is made publicly available as a Web application. It allows end-users to overview Twitter-based profiles in a structured way and allows them to see in which topics or entities a user was interested at a specific point in time. Furthermore, it provides Twitter-based user profiles in RDF format and allows applications to incorporate these profiles in order to adapt their functionality to the current interests of a user. TUMS is available via:http://wis.ewi.tudelft.nl/tums/