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

Couverture souple

ISBN 13 : 9798337313610

Editeur : Engineering Science Reference, 2026

A propos du livre

À propos des auteurs

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.

Détails de l'édition

• Éditeur: Engineering Science Reference
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798337313610
• Reliure: Broché
• Nombre de pages: 284
• Éditeur: Ortiz-Rodriguez Fernando, Leyva-Mederos Amed, Martinez Jose L., Vora Deepali, Diaz Lisandra
• Coordonnées du fabricant: non disponible
• Personne responsable: GPSR Kontakt; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne