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引用次数: 0
摘要
大事件数据的可用性为社会分析和知情决策过程带来了新的机会。GDELT (Global Database of Events, Language, and Tone)是一个知识库，它包含来自世界各地不同语言的新闻媒体的事件数据，并捕获有关物理活动、实体和概念的主要事件。对来自GDELT的事件数据进行语义标注和表示，以便实时构建知识图谱是一项具有挑战性的任务。当前的相关工作没有受益于其他免费提供的背景信息和链接开放数据(LOD)来源。本文介绍了GDELT 2.0事件流实时自动语义标注和表示方面正在进行的工作，并讨论了根据事件描述本体使用语义技术表示事件的好处。
Knowledge Graph Semantic Annotation and Population with Real-Time Events Data from GDELT
The availability of large event data brings new opportunities for social analysis and informed policy-making processes. GDELT (the Global Database of Events, Language, and Tone) is a knowledge base that contains event data from news media from all around the world in different languages, and captures the main events about physical activities, entities and concepts. Semantically annotating and representing event data from GDELT for knowledge graph construction in real time is a challenging task. Current related work does not benefit from other freely available background information and Linked Open Data (LOD) sources. This paper presents ongoing work on automatic semantic annotation and representation of the GDELT 2.0 event stream in real time and discusses the benefits of representing events using semantic technologies according to an Event Description Ontology.
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