多源知识融合技术研究综述

A survey of the research on multi-source knowledge fusion technology

多源知识融合的研究成果有助于计算机更好地理解人类的智能、人类语言以及人类思维,可以有效地促进网络空间大搜索,有效地促进领域知识图谱的构建,具有巨大的社会经济效益.由于知识获取的不确定性,基于实体识别和关系抽取技术构建的知识图谱,其知识的可靠性和置信度都有待评估,一方面,多源知识推理的过程可以检测冲突,为知识评估和验证提供帮助;另一方面,由知识推理得到的新知识也具有不确定性,需要进行评估和验证.多源知识协同推理不仅包括从多源知识中推断出新知识,还包括冲突检测,即识别错误知识或知识间存在的冲突.从多源知识融合的几个相关概念出发,全面介绍了开源知识融合、多知识图谱融合、知识图谱内部信息融合、多模态知识融合和多源知识协同推理的最新研究进展.在此基础上,探讨了大规模知识库环境下多源知识融合的挑战和未来研究方向.

The research results of multi-source knowledge fusion can help computer to better understand human intelligence,human language and human thinking,effectively promote the Big Search in Cyberspace,effectively promote the construction of domain knowledge graphs,and bring enormous social and economic benefits.Due to the uncertainty of knowledge acquisition,the reliability and confidence of knowledge graph based on entity recognition and relationship extraction technology need to be evaluated.On the one hand,the process of multi-source knowledge reasoning can detect conflicts and provide help for knowledge evaluation and verification;on the other hand,the new knowledge acquired by knowledge reasoning is also uncertain and needs to be evaluated and verified.Collaborative reasoning of multi-source knowledge includes not only inferring new knowledge from multi-source knowledge,but also conflict detection,i.e.identifying erroneous knowledge or conflicts between knowledge.Starting from several related concepts of multi-source knowledge fusion,we comprehensively introduces the latest research progress of open-source knowledge fusion,multi-knowledge graphs fusion,information fusion within knowledge graphs,multi-modal knowledge fusion and multi-source knowledge collaborative reasoning.On this basis,the challenges and future research directions of multi-source knowledge fusion in large-scale knowledge base environment are discussed.