知识图谱以结构化的方式描述客观世界中的概念、实体及其间的关系,将万维网的信息表达成更接近人类认知世界的形式,提供了一种更好地组织、管理和理解万维网上海量信息的能力。知识图谱核心技术除了大家熟悉的实体识别与关系抽取外,知识融合、本体匹配、及实体对齐更加具有挑战性,本篇文章推荐了本体匹配、实体对齐、及知识融合相关论文,希望能对入门者有一定帮助。前方高能预警哦
背景描述:
知识图谱以结构化的方式描述客观世界中的概念、实体及其间的关系,将万维网的信息表达成更接近人类认知世界的形式,提供了一种更好地组织、管理和理解万维网上海量信息的能力。知识图谱可以由任何机构和个人自由构建,其背后的数据来源广泛、质量参差不齐,导致它们之间存在多样性和异构性。例如,对于相似领域,通常会存在多个不同的概念或实体指称真实世界中的相同事物。知识图谱核心技术除了大家熟悉的实体识别与关系抽取外,知识融合、本体匹配、及实体对齐更加具有挑战性,本篇文章推荐了本体匹配、实体对齐、及知识融合相关论文,希望能对入门者有一定帮助,其中阅读顺序可以按文中推荐阅读即可,其中红色标注的是强烈建议大家阅读的,其他的可以根据时间进行安排。
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