Exploring open information via event network†
Exploring open information via event network†
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DOI：
10.1017/s1351324917000390
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发表时间：
2017-10
影响因子：
2.5
通讯作者：
Yanping Chen;Q. Zheng;Feng Tian;Huan Liu
中科院分区：
文献类型：
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作者：
Yanping Chen;Q. Zheng;Feng Tian;Huan Liu
摘要从开放领域的大量数据中发现信息是一项具有挑战性的任务。1在本文中，提出了一个事件网络框架来应对这一挑战。它实际上是一个探索开放信息的经验结构，包括三个步骤：文档事件检测、事件网络构建和事件网络分析。首先，将文档聚类为文档事件，以减少噪声和异构资源的影响。其次，语言单位（例如，命名的实体或实体关系）被从每个文档事件中提取，并被组合到事件网络中，这使得能够进行面向内容的检索。然后，在最后一步中，可以应用诸如社会网络或复杂网络之类的技术来分析事件网络以探索开放信息。在实现部分，我们提供了通过事件网络探索开放信息的例子。
Abstract It is a challenging task to discover information from a large amount of data in an open domain. 1 In this paper, an event network framework is proposed to address this challenge. It is in fact an empirical construct for exploring open information, composed of three steps: document event detection, event network construction and event network analysis. First, documents are clustered into document events for reducing the impact of noisy and heterogeneous resources. Secondly, linguistic units (e.g., named entities or entity relations) are extracted from each document event and combined into an event network, which enables content-oriented retrieval. Then, in the final step, techniques such as social network or complex network can be applied to analyze the event network for exploring open information. In the implementation section, we provide examples of exploring open information via event network.