In this paper, based on common-sense concepts information of entities from a concept graph, we propose aKnowledge Graph Embedding with Concepts (KEC)model that embeds entities and concepts of entities jointly into a semantic space. The fact triplets from a knowledge graph are adjusted by the ...
"Knowledge graph embedding with concepts". Knowledge-based Systems 2019. Sci 2. Impact 5.921. Cite 24. paper 🔥 💥 (ProjFE) Huajing Liu, Luyi Bai, Xiangnan Ma, Wenting Yu, Changming Xu. "ProjFE: Prediction of fuzzy entity and relation for knowledge graph completion". Applied Soft ...
内容提示: Differentiating Concepts and Instances for Knowledge Graph EmbeddingXin Lv, Lei Hou ∗ , Juanzi Li, Zhiyuan LiuDepartment of Computer Science and Technology,Tsinghua University, China 100084{lv-x18@mails.,houlei@,lijuanzi@,liuzy@}tsinghua.edu.cnAbstractConcepts, which represent a group...
In this section, the concepts construct in the background of the study are expressed. First, a brief explanation of knowledge graphs will be provided. Then, the knowledge graph embedding techniques employed in proposed solutions were mentioned. In the real world, taking the form of a graph in...
To use educational resources efficiently and dig out the nature of relations among MOOCs (massive open online courses), a knowledge graph was built for MOO
知识(Knowledge)可以理解为 精炼的数据,知识图谱(Knowledge Graph)即是对知识的图形化表示,本质上是一种大规模语义网络 (semantic network) – 富含实体(entity)、 概念(concepts) 及其之间的各种语义关系 (semantic relationships),比如 知识图谱和人工智能: ...
is the predecessor of the knowledge graph. The semantic network focuses more on describing the relationship between concepts and concepts, while the knowledge graph is more inclined to describe the association between entities. The emergence of knowledge graphs is more in line with the development tre...
Refine the Model:Continuously improve how relationships and concepts are structured as your understanding deepens. Plan for the Future A knowledge graph should grow with the business. You can keep it scalable and efficient by applying best practices such as: ...
Paper tables with annotated results for Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
akaihaoshuai:从0开始实现LLM:8.1、RAG代码实战(TinyRAG/FlagEmbedding/QAnything讲解) akaihaoshuai:从0开始实现LLM:8、RAG(理论学习) akaihaoshuai:LLM之Rag技术综述 Knowledge-Graph-Tutorials-and-Papers LightRAG LightRAG: Simple and Fast Retrieval-Augmented Generation ...