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

机译:基于本体的事件模型对中国新闻故事的语义理解

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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,大多数现有工作都处理文档,因此它们无法在新闻文章中提供足够的事件语义信息。 ,新闻,新闻的5W1H元素的时间,地点,对象,时间,地点,原因和方式,我们提出了一个新闻本体事件模型(NOEM),该模型可以描述事件的5W1H语义元素。该模型定义实体的概念(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。与现有事件模型的比较和经验案例研究表明,NOEM可以有效地对新闻的语义元素进行建模事件及其关系;并且具有表示知识事实并易于适应新领域的强大能力。

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