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relin:基于关联性和信息性的实体汇总中心性

RELIN: Relatedness and Informativeness-based Centrality for Entity Summarization
课程网址: http://videolectures.net/iswc2011_cheng_relin/  
主讲教师: Gong Cheng
开课单位: 南京大学
开课时间: 2011-11-25
课程语种: 汉简
中文简介:
关联数据正朝着一个庞大的全球存储库发展,用于对现实世界实体进行结构化,相互关联的描述。许多使用LinkedData等数据的Web应用程序中出现的问题是如何根据快速识别底层实体的任务来定制冗长的描述。作为这个新颖的实体总结问题的解决方案,我们提出了RELIN,它是随机冲浪模型的一种变体,它利用描述元素的相关性和信息性进行排序。我们提出了这个概念模型的实现,它基于语言和信息理论概念捕获描述元素的语义。在涉及现实世界数据集和用户的实验中,我们的方法优于基线,生成更好地匹配手工制作的摘要,并进一步显示在具体任务中有用。
课程简介: Linked Data is developing towards a large, global repository for structured, interlinked descriptions of real-world entities. An emerging problem in many Web applications making use of data like Linked Data is how a lengthy description can be tailored to the task of quickly identifying the underlying entity. As a solution to this novel problem of entity summarization, we propose RELIN, a variant of the random surfer model that leverages the relatedness and informativeness of description elements for ranking. We present an implementation of this conceptual model, which captures the semantics of description elements based on linguistic and information theory concepts. In experiments involving real-world data sets and users, our approach outperforms the baselines, producing summaries that better match handcrafted ones and further, shown to be useful in a concrete task.
关 键 词: 关联数据; 随机冲浪模型; 信息理论
课程来源: 视频讲座网
最后编审: 2019-05-05:lxf
阅读次数: 25