论文标题
特定领域的知识图：调查
Domain-specific Knowledge Graphs: A survey
论文作者
论文摘要
知识图（KGS）取得了定性的飞跃，并在知识表示方面实现了真正的革命。这是由KG的基本结构所掩盖的，该结构为人类和机器的知识提供了更好的理解，推理和解释。因此，KG继续被用作解决各个领域中的许多现实问题的主要手段。但是，关于特定于域特异性kg的合理且包容的定义尚无共识。此外，结合了几种局限性和缺陷，各种特定领域的施工方法远非完美。该调查是第一个提供针对域特异性公斤的全面定义的调查。此外，本文对与七个知识领域相关的学术作品提出的最先进方法进行了详尽的回顾。对当前方法的检查揭示了一系列局限性和缺陷。同时，研究地图上未知的领土被突出显示，以解决文献中现有的问题，并指向未来研究的方向。
Knowledge Graphs (KGs) have made a qualitative leap and effected a real revolution in knowledge representation. This is leveraged by the underlying structure of the KG which underpins a better comprehension, reasoning and interpretation of knowledge for both human and machine. Therefore, KGs continue to be used as the main means of tackling a plethora of real-life problems in various domains. However, there is no consensus in regard to a plausible and inclusive definition of a domain-specific KG. Further, in conjunction with several limitations and deficiencies, various domain-specific KG construction approaches are far from perfect. This survey is the first to offer a comprehensive definition of a domain-specific KG. Also, the paper presents a thorough review of the state-of-the-art approaches drawn from academic works relevant to seven domains of knowledge. An examination of current approaches reveals a range of limitations and deficiencies. At the same time, uncharted territories on the research map are highlighted to tackle extant issues in the literature and point to directions for future research.
