This book provides a systematic and comprehensive overview of knowledge graph, covering all aspects including the theoretical foundations, key techniques and methodologies, and various typical applications. Special focus is given to the practical methods for knowledge graph construction and management, especially methods for constructing knowledge graphs from texts and from Encyclopedia, and methods for knowledge fusion and reasoning.
It can serve as reference book for researchers and students new to knowledge graph. From this book, the readers will learn how to construct large-scale knowledge graphs from different sources, how to manage multiple knowledge graphs and do reasoning with a knowledge graph. Some basic knowledge on discrete mathematics, probability and statistics, data structure, and databases is required to understand the book content well.
It can serve as reference book for researchers and students new to knowledge graph. From this book, the readers will learn how to construct large-scale knowledge graphs from different sources, how to manage multiple knowledge graphs and do reasoning with a knowledge graph. Some basic knowledge on discrete mathematics, probability and statistics, data structure, and databases is required to understand the book content well.
The first comprehensive introductory book on knowledge graph
Covers all aspects of knowledge graph including the theoretical foundations, key techniques and methodologies, and various typical applications
Presents practical techniques and methods for knowledge graph construction and management
Covers all aspects of knowledge graph including the theoretical foundations, key techniques and methodologies, and various typical applications
Presents practical techniques and methods for knowledge graph construction and management
Guilin Qi
Knowledge Graph Knowledge Engineering Natural Language Understanding Knowledge Discovery Knowledge Representation Knowledge Reasoning Information Extraction Semantic Network Relation Extraction Event Extraction Entity Linking Knowledge Evolution Knowledge Fusion Representation Learning Query Answering