知识图谱入门 - 构建运维知识图谱前站

知乎理论+实践+学习方法推荐：

知识图谱系列：如何搭建知识图谱？ - 知乎 (zhihu.com)

原理文章推荐阅读1：

CAS-KG——知识图谱概述_晴晴_Amanda的博客-CSDN博客_知识工程

人工智能已经从计算智能，感知智能进入认知智能的阶段了，那么知识图谱是啥？知识又包含哪些呢：

Plato：是永恒不变的且适用于世间万物的真理。
Davenportr：是与经验（Experience）、背景（Context ） 、 解 释 （ Interpretation ） 和 思 考 （reflection）结合在一起的信息，是一种可以随时帮助人们决策与行动的高价值信息。
Harris：是信息、文化脉络及经验的组合。
Feigenbaum：是经过消减、塑造、解释和转换的信息，即知识就是经过加工的信息。
Bernstein：由特定领域的描述、关系和过程组成。
Hayes-Roth：是事实、信念和启发式规则。
Nonaka：分为两种，其中显式知识指可以用正式、系统化的语言传输的知识；而隐性知识拥有个性化的特征，很难进行形式化描述和分享。
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原文链接：https://blog.csdn.net/qq_38293297/article/details/105917990

原理文章推荐阅读2：

结构化数据抽取成三元组_干货丨AI在数据防泄漏中的应用——知识图谱之知识抽取..._云东来的博客-CSDN博客

知识图谱的应用

1 搜索

3.2问答

人与机器通过自然语言进行问答与对话也是人工智能实现的标志之一，知识图谱也广泛应用于人机问答交互中。借助自然语言处理和知识图谱技术，比如基于语义解析、基于图匹配、基于模式学习、基于表示学习和深度学习的知识图谱模型。

3.3辅助大数据分析

知识图谱也可以用于辅助进行数据分析与决策。不同来源的知识通过知识融合进行集成，通过知识图谱和语义技术增强数据之间的关联，用户可以更直观地对数据进行分析。此外知识图谱也被广泛用于作为先验知识从文本中抽取实体和关系，也被用来辅助实现文本中的实体消歧，指代消解等

原文：知识图谱入门——认识知识图谱 - 知乎目录 1.什么是知识图谱 2.知识图谱的发展历程 3.知识图谱有什么用 4.知识图谱怎么构建 知识图谱是知识工程的分支，在人工智能领域有重要的作用。我们日常使用的搜索引擎背后的工作逻辑、电商平台的智能推荐等都运…https://zhuanlan.zhihu.com/p/396516565

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知识表示学习
Dual Quaternion Knowledge Graph Embeddings
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
PASSLEAF: A Pool-Based Semi-Supervised Learning Framework for Uncertain Knowledge Graph Embedding
Topology-Aware Correlations between Relations for Inductive Link Prediction in Knowledge Graphs
Learning from History: Modeling Temporal Knowledge Graphs with Sequential CopyGeneration Networks
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
5 Knowledge Graph Embeddings with Projective Transformations
知识构建与信息抽取
Type-Augmented Relation Prediction in Knowledge Graphs
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing
FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction
Multi-View Inference for Relation Extraction with Uncertain Knowledge
Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
Relation-Aware Neighborhood Matching Model for Entity Alignment
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
Progressive Multi-Task Learning with Controlled information Flow for Joint Entity and Relation Extraction
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Document-Level Relation Extraction with Reconstruction
CrossNER: Evaluating Cross-Domain Named Entity Recognition
A Bidirectional Multi-Paragraph Reading Model for Zero-Shot Entity Linking
A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition
Knowledge Refinery: Learning from Decoupled Label
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
Nested Named Entity Recognition with Partially-Observed TreeCRFs
Improving the Efficiency and Effectiveness for Bert-Based Entity Resolution
Continual Learning for Named Entity Recognition
A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations
A Lightweight Neural Model for Biomedical Entity Linking
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Entity Structure Within and Throughout: Modeling Mention Dependencies for DocumentLevel Relation Extraction
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Span-Based Event Coreference Resolution
Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity
Visual Pivoting for (Unsupervised) Entity Alignment
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization
Dynamic Knowledge Graph Alignment
GATE: Graph Attention Transformer Encoder for Cross-Lingual Relation and Event Extraction
Few-Shot Named Entity Recognition: An Empirical Baseline Study
Learning from Noisy Labels for Entity-Centric Information Extraction
Data Augmentation for Cross-Domain Named Entity RecognitionFine-grained Entity Typing via Label Reasoning
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models
Low-Rank Subspaces for Unsupervised Entity Linking
Highly Parallel Autoregressive Entity Linking with Discriminative Correction
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing
Document-level Entity-based Extraction as Template Generation
Injecting Entity Types into Entity-Guided Text Generation
Enhanced Language Representation with Label Knowledge for Span Extraction
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
A Partition Filter Network for Joint Entity and Relation Extraction
A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
Modular Self-Supervision for Document-Level Relation Extraction
Exploring Task Difficulty for Few-Shot Relation Extraction
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction
Extracting Event Temporal Relations via Hyperbolic Geometry
Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction
Corpus-based Open-Domain Event Type Induction
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
A Relation-Oriented Clustering Method for Open Relation Extraction
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents
Cost-effective End-to-end Information Extraction for Semi-structured Document Images
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment
Uncovering Main Causalities for Long-tailed Information Extraction
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction
Importance Estimation from Multiple Perspectives for Keyphrase Extraction
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction
知识语义计算与理解
Comprehension and Knowledge
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling
KG-BART: Knowledge Graph-Augmented Bart for Generative Commonsense Reasoning
Communicative Message Passing for Inductive Relation Reasoning
Neural Relational Inference with Efficient Message Passing Mechanisms
GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning
Relation-Aware Graph Attention Model with Adaptive Self-Adversarial Training
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching
Randomized Generation of Adversary-Aware Fake Knowledge Graphs to Combat Intellectual Property Theft
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
Hierarchical Relational Inference
知识增强与应用
Knowledge-Driven Data Construction for Zero-Shot Evaluation in Commonsense Question Answering
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
Knowledge-Guided Object Discovery with Acquired Deep Impressions
Encoding Human Domain Knowledge to Warm Start Reinforcement Learning
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs
6350: Unanswerable Question Correction in Question Answering over Personal Knowledge Base
6672: Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing
7812: Text-Based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
7833: Knowledge-Driven Natural Language Understanding of English Text and its Applications
Judgment Prediction via Injecting Legal Knowledge into Neural Networks
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
Knowledge-Aware Coupled Graph Neural Network for Social Recommendation
Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning
Humor Knowledge Enriched Transformer for Understanding Multimodal Humor
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
Knowledge-Aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-toText Transformation
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-Shot Commonsense Question Answering
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版权声明：本文为CSDN博主「深蓝学院」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/soaring_casia/article/details/121205346