Название: Semantic AI in Knowledge GraphsАвтор: Sanju Tiwari, Fernando Ortiz-Rodriguez, Sarra Ben Abbes
Издательство: CRC Press
Год: 2024
Страниц: 217
Язык: английский
Формат: pdf (true)
Размер: 16.0 MB
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.
Natural language processing (NLP) is a field of Machine Learning (ML) that contains a theoretically motivated range of computational techniques for the analysis and representation of naturally occurring texts at one or more levels of linguistic analysis in order to achieve a human-like level of understanding for a range of tasks and applications. Because NLP techniques can be applied to a text or data corpus, they can be used for automatic or semi-automatic ontology generation. The intersection of NLP ML techniques and ontology creation is known as ontology learning.
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.
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