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Ontology-Based Event Modeling for Semantic Understanding of Chinese News Story

机译:基于本体的语义理解的情绪建模

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Describing and extracting event semantic information is essential to build an event knowledge base and applications in event and semantic level.However,most existing work deals with documents so they fail to provide sufficient semantic information about events in news articles.In this paper,considering What,Who,When,Where,Why and How,the 5W1H elements of a piece of news,we propose a News Ontology Event Model (NOEM) which can describe 5W1H semantic elements of an event.The model defines concepts of entities (time,person,location,organization etc.),events and relationships to capture temporal,spatial,information,experiential,structural and causal aspect of events.A comparison to existing event models and an empirical case study show that NOEM can effectively model the semantic elements of news events and their relationship;and has a strong ability to represent knowledge facts and easily adapt to new domains.
机译:描述和提取事件语义信息对于在事件和语义级别构建事件知识库和应用程序至关重要。但是,最现有的工作处理文件,以便他们未能提供有关新闻文章中的事件的足够的语义信息。在本文中,考虑到什么,谁,何时,在哪里,为什么以及如何以及如何,我们提出了一个新闻的新闻事件模型(noem),它可以描述事件的5w1h语义元素。模型定义了实体的概念(时间,人,位置,组织等。),事件和关系,以捕获事件的时间,空间,信息,体验,结构和因果方面的结构和因果方面。与现有事件模型的比较和实证案例研究表明,Noem可以有效地模拟新闻的语义元素事件及其关系;有很强的能力来代表知识事实,容易适应新域。

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