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Automatic construction of lexicons, taxonomies, ontologies, and other knowledge structures

机译:自动构建词典,分类法,本体和其他知识结构

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摘要

, structured, representations of knowledge such as lexicons, taxonomies, and ontologies have proven to be powerful resources not only for the systematization of knowledge in general, but to support practical technologies of document organization, information retrieval, natural language understanding, and question-answering systems. These resources are extremely time consuming for people to create and maintain, yet demand for them is growing, particularly in specialized areas ranging from legacy documents of large enterprises to rapidly changing domains such as current affairs and celebrity news. Consequently, researchers are investigating methods of creating such structures automatically from document collections, calling on the proliferation of interlinked resources already available on the web for background knowledge and general information about the world. This review surveys what is possible, and also outlines current research directions. (C) 2013 Wiley Periodicals, Inc.
机译:事实证明,词汇,分类法和本体论等知识的结构化表示形式不仅是一般知识的系统化的强大资源,而且还支持文档组织,信息检索,自然语言理解和问题解答等实用技术系统。这些资源对于人们的创建和维护来说是极其耗时的,但是对它们的需求却在不断增长,特别是在从大型企业的遗留文档到快速变化的领域(例如时事和名人新闻)的特定领域。因此,研究人员正在研究从文档收集中自动创建这种结构的方法,呼吁增加网络上已有的有关背景知识和有关世界的一般信息的互连资源。这篇综述调查了可行的方法,并概述了当前的研究方向。 (C)2013 Wiley期刊公司

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