Übersicht			Auf mobile öffnen

Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (Januar 2027)
Genre:	EDV / Informatik
	adaptive learning framework / Business & management / Business and Management / COMPUTERS / Information Technology / COMPUTERS / Management Information Systems / Data Privacy / domain-specific reasoning / Enterprise Software / Intelligent Systems / Knowledge Graph / Large Language Model / structured knowledge mehr...
ISBN:	9780443452444
EAN-Code:	9780443452444
Verlag:	Elsevier
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 191 mm / D
Gewicht:	450 gr
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

Inhalt:

Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions explores the cutting-edge fusion of two powerful artificial intelligence technologies: Large Language Models (LLMs) and Knowledge Graphs (KGs). The book is structured to provide a comprehensive understanding of this emerging field. Chapters introduce the synergy between LLMs and KGs, delve into the capabilities and challenges of LLMs, focus on the structure, function, and significance of KGs, present a conceptual framework for bridging LLMs and KGs, discuss techniques for their integration, explore how LLMs can enhance KGs and vice versa, and showcase applications of LLM-KG synergy across various domains. Final sections addresses ethical, social, and technical challenges and future innovations. The book concludes by summarizing key insights and advancements in intelligent systems. This is an essential resource for graduate students, researchers, and professionals in computer science. It offers valuable insights for adopting LLMs, KGs, and their advanced applications in research and product development. By bridging the gap between these technologies, this book equips readers with the knowledge to drive innovation and enhance the capabilities of intelligent systems.