(1)We provide a comprehensive review of the knowledge graph covering overall research topics. (2)We propose a full-view categorization and new taxonomies on these topics. (3)We further explore several emerging topics. (4)we also provide a curated collection of data sets and open-source l...
Z. Wang, J. Zhang, J. Feng, and Z. Chen, “Knowledge graph embedding by translating onhyperplanes,” in Proc. 28th AAAI Conf. Artif. Intell., 2014, pp. 1112–1119. Y. Lin, Z. Liu, M. Sun, Y. Liu, and X. Zhu, “Learning entity and relation embeddings for knowledge graph co...
Knowledge Graph Embedding: A Survey of Approaches and Applications[论文笔记] KG embedding研究的出发点:KG的表示一般基于三元组(head entity, relation, tail entity),尽管能够有效的表示结构化数据,但是底层的本质上是符号表示,使得KG很难操作; KG embedding将KG中的成分映射到一个连续的矢量空间中,不仅保留KG中...
Q Ye,P Li - 《Expert Systems with Application》 被引量: 0发表: 2023年 A Survey of Entity Alignment of Knowledge Graph Based on Embedded Representation With the development of research, there are many improved embedding methods, such as iteration, multi view embedding, knowledge graph entity ali...
GRAPH algorithmsUNIVERSITIES & collegesCOMPUTER scienceThis paper presents a comprehensive survey of knowledge graphs in education. It covers the patterns and prospects of research in this area. A total of 48 relevant publications between 2011 and 2023 were collected from the ...
Basic information on the studied sites Institute of Environmental Management and Academy of Environmental Science Position coordinates, enterprises on sites, pollutant emission, and planning layout. Over 2000 sites with 86 properties of each site Extracting information from environmental survey reports of si...
【论文翻译 AAAI 2020 | 知识图谱综述】A Survey on Knowledge Graphs: Representation, Acquisition and Applications,程序员大本营,技术文章内容聚合第一站。
目前,我们处于大数据时代,海量的数据中蕴含了丰富的价值. 知识图谱建立了如何从数据中挖取和组织知识的技术构架,在实现机器智能的过程中起到关键的作用,得到了广泛关注. 本文首先给出了知识图谱产生的历史背景,其次,介绍了现有的知识库,然后综述了知识图谱领域的关键
This is the first survey paper of KDG, which covers representative KDG methods from 26 publications since 2020. • We systematically survey and categorize existing works by answering three questions: 1) what to distillate, 2) who to whom, and 3) how to distillate. • We discuss the promi...
一些著名的基于图像的视觉知识提取系统如表2a所示,可用于通过图像标记构建MMKG。根据要链接的符号类别,将图像链接到符号的过程可分为几个细分任务:视觉实体/概念提取(第3.1.1节)、视觉关系提取(第3.1.2节)和视觉事件提取(第3.1.3节)。 (2)用KG标记图像。