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Download Semantic AI in Knowledge Graphs by Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, and John Shawe-Taylor in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Semantic AI in Knowledge Graphs
Recent combinations of semantic technology and artificial intelligence (AI) present new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning.Securing efficient results via the combination of symbolic AI and statistical AI such as entity extraction based on machine learning, text mining methods, semantic knowledge graphs, and related reasoning power, this book is the first of its kind to explore semantic AI and knowledge graphs. A range of topics are covered, from neuro-symbolic AI, explainable AI and deep learning to knowledge discovery and mining, and knowledge representation and reasoning.A trailblazing exploration of semantic AI in knowledge graphs, this book is a significant contribution to both researchers in the field of AI and data mining as well as beginner academicians.
Detailed Information
| Author: | Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, and John Shawe-Taylor |
|---|---|
| Publication Year: | 2023 |
| ISBN: | 9781003313267 |
| Pages: | 217 |
| Language: | English |
| File Size: | 16.021 |
| Format: | |
| Price: | FREE |
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