Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions
Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions
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与知识库的实体链接：问题、技术和解决方案
DOI：
10.1109/tkde.2014.2327028
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发表时间：
2015-02-01
影响因子：
8.9
通讯作者：
Han, Jiawei
中科院分区：
文献类型：
--
作者：
Shen, Wei;Wang, Jianyong;Han, Jiawei
将网络数据与知识库连接起来的大量潜在应用导致了实体链接研究的增加。实体链接是将文本中的实体提及与知识库中相应的实体链接起来的任务。潜在的应用包括信息提取、信息检索和知识库填充。然而，由于名称变化和实体不明确，这项任务具有挑战性。在本次调查中，我们对实体链接的主要方法进行了全面的概述和分析，并讨论了各种应用、实体链接系统的评估以及未来的发展方向。
The large number of potential applications from bridging web data with knowledge bases have led to an increase in the entity linking research. Entity linking is the task to link entity mentions in text with their corresponding entities in a knowledge base. Potential applications include information extraction, information retrieval, and knowledge base population. However, this task is challenging due to name variations and entity ambiguity. In this survey, we present a thorough overview and analysis of the main approaches to entity linking, and discuss various applications, the evaluation of entity linking systems, and future directions.