This paper describes a new kind of knowledge representation and mining system which we are calling the Semantic Knowledge Graph. At its heart, the Semantic... T Grainger,K Aljadda,M Korayem,... - IEEE 被引量: 6发表: 2016年 THE INFLUENCE MODEL OF KNOWLEDGE REPRESENTATION ON KNOWLEDGE QUALIT...
learning. Section 6 focuses on the techniques that perform reasoning based on neural network and reinforcement learning. Section 7 further explores the applications of such knowledge in downstream tasks, such as knowledge graph completion, question-answer systems, and recommendation systems. Section 8 ...
原标题 “ A review of knowledge graph application scenarios in cyber security ”,论文地址: A review of knowledge graph application scenarios in cyber securityarxiv.org/abs/2204.04769 1. 知识图与网络安全相结合的背景 当前网络安全环境纷繁复杂,网络空间环境呈动态变化形式,面对来自网络内部和外部的威胁...
Knowledge graph completion (KGC) is a hot topic in knowledge graph construction and related applications, which aims to complete the structure of knowledge graph by predicting the missing entities or relationships in knowledge graph and mining unknown facts. Starting from the definition and types of ...
(ILP)14, which has an explicit role for domain-knowledge being incorporated into learning. The simplest use of ILP14to incorporaten-ary relations in domain knowledge into a neural network relies on techniques that automatically “flatten” the domain-knowledge into a set of domain-specific ...
(评分函数)are defined tomeasure triples’ plausibility (度量三元组的合理性)to enable updating the representation on the training data (在训练数据上更新表示形式).Using different scoring functions in knowledge graph embeddings will reflect different designing criteria(在知识图嵌入中不同评分函数反映不同的...
The application of the knowledge graph, another form of artificial intelligence (AI) in cardiology and cardiovascular medicine, is a new concept, and only... H Wang,Q Zu,M Lu,... - 《Advances in Therapy》 被引量: 0发表: 2022年 A Systematic Literature Review on Personalised Learning in ...
Various techniques of clustering have been suggested by researchers based on low distances or probability, etc. In this paper, an analysis of well known clustering algorithm DBSCAN on different datasets using WEKA clustering tool has been presented. The results show that this clustering algorithm over...
“ refers to the name of BioNTech vaccine that protects against COVID-19. The techniques used in NER can be classified into (a) knowledge-based techniques that rely on domain-specific knowledge and (b) advanced machine learning techniques that benefit from annotated data (in case of supervised...
2.1 Existing techniques used in IoT forensics Forensic investigations can be carried out using the static mode of the traditional method [10]. Investigations are performed after an attack on the devices in static mode. Data can be recovered using tools such as Encase and OSForensics, which can ...