LLMs, Knowledge Graphs, and the Semantic Web: Revolutionizing Data Processing, Knowledge Extraction, and AI Capabilities - Softcover

Softcover

ISBN 13: 9798337313610

Publisher: Engineering Science Reference, 2026

Synopsis

In the landscape of AI and data science, the convergence of large language models (LLMs), knowledge graphs (KGs), and the Semantic Web ushers in a new era of intelligent systems. These technologies transform how machines understand and process human language while redefining the way knowledge is extracted, structured, and utilized. LLMs are enhanced by the structured data of KGs and the frameworks of the Semantic Web. Together, they revolutionize data processing, enabling deeper semantic understanding, and unlocking powerful new capabilities in AI-driven decision-making, search, and automation. This collaboration marks a leap forward in building systems that can reason, learn, and interact more like humans. LLMs, Knowledge Graphs, and the Semantic Web: Revolutionizing Data Processing, Knowledge Extraction, and AI Capabilities explores the relationship between LLMs and KGs as a part of the Semantic Web, showing how their integration can revolutionize data processing, knowledge extraction, and AI capabilities. It serves as a reference for Semantic Web technologies applied in LLMs and IoT. This book covers topics such as database technologies, metaverse, and intelligent systems, and is a useful resource for computer engineers, data scientists, academicians, researchers, and computer scientists.

About this title

About the Authors

Fernando Ortiz-Rodriguez is a Full Professor and Head of the Artificial Intelligence and Innovation Lab at Tamaulipas Autonomous University. He was the Executive Director at the International Institute of Studies (IIES). He created the First Business School in Tamaulipas, Mexico. He worked as the Information Technology Manager at Emerson Electric, where he developed more than 40 pieces of software, some of them used globally in Emerson, and, achieved technology convergence by implementing the first efforts on IoT and Industry 4.0. Fernando is a member of National Systems Researchers (SNI) Level 1 of the National Council of Science and Technology (CONACYT) and INDEX IT Advisor

Amed Abel Leiva Mederos . Degree in Information Sciences from the Central University of Las Villas. Master in Information Sciences. PhD in Information Sciences at the University of Granada and the University of Havana. Head of the semantic web research group. Diploma in Intelligent Systems at the UGR. He specializes in IoT, semantic web, and interoperability

Jose L. Martinez-Rodriguez received his Ph.D. in Computer Science from Cinvestav Tamaulipas, Mexico (2018). He is an Associate Professor in the Faculty of Engineering and Science at the Autonomous University of Tamaulipas. His research interests include Semantic Web representation, Data Mining, Information Extraction, and Cloud Computing.

Deepali R Vora was the Professor & Head of Department, Information Technology in Vidyalankar Institute of Technology, Mumbai and has completed her PhD in Computer Science and Engineering from Amity University, Mumbai. She is currently associated with Symbiosis Institute of Technology, Pune as associate professor. She has more than 20 years of experience in total in teaching, research and Industry. She has published more than 50 research papers in reputed national, international conferences and journals. She has co-authored three books and 2 book chapters and delivered various talks in Data Science and Machine learning. She has conducted hands-on session in Data Science using Python for students and faculties. She is appointed as a Syllabus Revision Committee member with Mumbai University and developed the course content for B.E. (Information Technology) course. She has received grants from government bodies like AICTE, ISTE as well as Industry for conducting research, organising conference and training courses for faculties. She is acting as a reviewer for many International Conferences and Journals like IEEE Access, IGI Global – Journal of Big Data Analytics, Journal of Intelligent Systems, Inderscience etc. She has organised many value added courses for the benefit of the students. More than 18 students have completed and currently, 3 students are pursuing their post-graduate studies under her guidance.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2026
• Language: English
• ISBN 13: 9798337313610
• Binding: Paperback
• Number of pages: 284
• Editor: Ortiz-Rodriguez Fernando, Leyva-Mederos Amed, Martinez Jose L., Vora Deepali, Diaz Lisandra