Knowledge Graphs: Fundamentals, Techniques, and Applications

ePUB
- eBook:Knowledge Graphs: Fundamentals, Techniques, and Applications
- Author:Mayank Kejriwal, Craig A. Knoblock, Pedro Szekely
- Edition:-
- Categories:
- Data:March 30, 2021
- ISBN:0262045095
- ISBN-13:9780262045094
- Language:English
- Pages:568 pages
- Format:ePUB
The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.
Content
1. Introduction to Knowledge Graphs
2. Modeling and Representing Knowledge Graphs
II - KNOWLEDGE GRAPH CONSTRUCTION
3. Domain Discovery
4. Named Entity Recognition
5. Web Information Extraction
6. Relation Extraction
7. Nontraditional Information Extraction
III - KNOWLEDGE GRAPH COMPLETION
8. Instance Matching
9. Statistical Relational Learning
IV - ACCESSING KNOWLEDGE GRAPHS
11. Reasoning and Retrieval
12. Structured Querying
13. Question Answering
V - KNOWLEDGE GRAPH ECOSYSTEMS
14. Linked Data
15. Enterprise and Government
16. Knowledge Graphs and Ontologies in Science
17. Knowledge Graphs for Domain-Specific Social Impact
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