Название: Semantic AI in Knowledge Graphs
Автор: 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.

Название: Building Knowledge Graphs: A Practitioner's Guide (Final)
Автор: Jesus Barrasa, Maya Natarajan, Jim Webber
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 291
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 28.5 MB

Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by storing interlinked descriptions of entities—objects, events, situations, or abstract concepts—and encoding the underlying information. How do you create a knowledge graph? And how do you move it from theory into production? Graph data has become ubiquitous in the last decade. Graphs underpin everything from consumer-facing systems like navigation and social networks to critical infrastructure like supply chains and policing. A consistent theme has emerged: applying knowledge in context is the single most powerful tool that most businesses have. Through research and experience, a set of patterns and practices called knowledge graphs has been developed to support extracting knowledge from data of all types and in all sources, from systems of record to frozen data lakes to application logs.

Название: Data Science with Semantic Technologies: Deployment and Exploration
Автор: Archana Patel, Narayan C. Debnath
Издательство: CRC Press
Год: 2023
Страниц: 246
Язык: английский
Формат: pdf (true)
Размер: 13.2 MB

Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do. Data Science with Semantic Technologies: Deployment and Exploration, the second volume of a two-volume handbook set, provides a roadmap for the deployment of semantic technologies in the field of Data Science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book offers the answer to various questions like: What makes a technology semantic as opposed to other approaches to Data Science? What is knowledge data science? How does knowledge data science relate to other fields? This book explores the optimal use of these technologies to provide the highest benefit to the user under one comprehensive source and title.