TY - JOUR AU - Chaudhri, Vinay AU - Baru, Chaitanya AU - Chittar, Naren AU - Dong , Xin AU - Genesereth, Michael AU - Hendler, James AU - Kalyanpur, Aditya AU - Lenat, Douglas AU - Sequeda, Juan AU - Vrandečić, Denny AU - Wang, Kuansan PY - 2022/03/31 Y2 - 2024/03/28 TI - Knowledge Graphs: Introduction, History and, Perspectives JF - AI Magazine JA - AIMag VL - 43 IS - 1 SE - Special Topic Articles DO - 10.1002/aaai.12033 UR - https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/19119 SP - 17-29 AB - <p>Knowledge graphs (KGs) have emerged as a compelling abstraction for organizing the world's structured knowledge and for integrating information extracted from multiple data sources. They are also beginning to play a central role in representing information extracted by AI systems, and for improving the predictions of AI systems by giving them knowledge expressed in KGs as input. The goals of this article are to (a) introduce KGs and discuss important areas of application that have gained recent prominence; (b) situate KGs in the context of the prior work in AI; and (c) present a few contrasting perspectives that help in better understanding KGs in relation to related technologies.</p> ER -