基于链接的社交网络实体解析方法
A Link-based Approach to Entity Resolution in Social Networks
摘要：
社交网络最初是人们相互联系、寻找朋友或新相识的地方。因此，它们曾经被证明是机器辅助分析的有趣之处。然而，最近的事态发展使社交网络成为信息交流、意见表达和辩论的主要领域之一。因此，人们对分析和整合社交网络服务的兴趣越来越大。在这种环境中，用户生成的内容的大量和变化的质量阻碍了有效的信息检索。将用户引导到相关信息是一项有价值的服务，也是一项艰巨的任务，其中该过程的关键部分是准确地将重复实体解析为真实世界的实体。在本文中，我们提出了一种新的方法，利用链接挖掘的原则，成功地扩展实体解决多类型问题的方法。所提出的方法是使用说明性的社会网络为基础的现实世界的例子，并通过综合评价的结果进行验证。
英文摘要：
Social networks initially had been places for people to contact each other, find friends or new acquaintances. As such they ever proved interesting for machine aided analysis. Recent developments, however, pivoted social networks to being among the main fields of information exchange, opinion expression and debate. As a result there is growing interest in both analyzing and integrating social network services. In this environment efficient information retrieval is hindered by the vast amount and varying quality of the user-generated content. Guiding users to relevant information is a valuable service and also a difficult task, where a crucial part of the process is accurately resolving duplicate entities to real-world ones. In this paper we propose a novel approach that utilizes the principles of link mining to successfully extend the methodology of entity resolution to multitype problems. The proposed method is presented using an illustrative social network-based real-world example and validated by comprehensive evaluation of the results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
