什么是时序知识图谱问答(Temporal Knowledge Graph Question Answering,TKGQA)? 给定时序知识图谱 G 和一个自然语言表述的时序问题 q,TKGQA任务的目标是使用来自 G 的一组实体 {e∣e∈E}或时间戳 {τ∣τ∈T} 来回答问题 q。 问题 时序问题分类上的模糊性 缺乏对现有方法的系统分类两种分类 基于语义解析(SP
Temporal Knowledge Graph Question Answering: A Survey Abstract Knowledge Base Question Answering (KBQA) has been a long-standing field to answer questions based on knowledge bases. Recently, the evolving dynamics of knowledge have attracted a growing interest in Temporal Knowledge Graph Question Answering...
surveyComplex Question Answering over Knowledge Graph (C-KGQA) seeks to solve complex questions using knowledge graphs. Currently, KGQA systems achieve great success in answering simple questions, while complex questions still present challenging issues. As a result, an increasing number of novel ...
A standardized representation and sharing of crop disease and pest data is crucial for enhancing crop yields, especially in China, which features vast cultivation areas and complex agricultural ecosystems. A knowledge graph for crop diseases and pests, a
1questionAnsweringsystemQuestionAnsweringSystem是一个Java实现的人机问答系统,能够自动分析问题并给出候选答案。 2QABasedOnMedicaKnowledgeGraph从无到有搭建一个以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。python 3DeepPavlovAn open source library for deep learning end-to-end dia...
Moreover, graph structure has become a significant strategy for many applications including data mining, natural language processing, and question-answering systems [20]. One of the particular and popular types of graph structure is a knowledge graph in which the node and edge respectively ...
Knowledge Graph Embedding: An Overview. APSIPA Transactions on Signal and Information Processing, 13(1), 2024. paper Ge, X., Wang, Y. C., Wang, B., & Kuo, C. C. J. Temporal Knowledge Graph Question Answering: A Survey. arXiv preprint arXiv:2406.14191. paper Su, M., Li, Z., Ch...
Knowledge graph-based clinical decision support system reasonirng: a survey Proceedings of the IEEE Fourth International Conference on Data Science in Cyberspace (DSC), IEEE (2019), pp. 373-380 CrossrefView in ScopusGoogle Scholar [13] R. Lourdusamy, X.J. Mattam, Resource description framewor...
知识图谱近年来的研究有:semantic parsing(语义解析),named entity disambiguation(实体对齐),information extraction(信息提取),question answering(智能问答). 知识图谱嵌入knowledge graph embedding:将包含实体和关系的KG的三元组嵌入到连续的向量空间中,以便简化操作,同时保留KG的固有结构。KG嵌入有利于后续任务的开展,例...
Temporal Knowledge Graph Temporal Information Embedding Entity Dynamics Temporal Relational Dependence Temporal Logical Reasoning Knowledge-Aware Application Language Representation Learning Question Answering Single-Fact QA Multihop Reasoning Recommender Systems ...