Resultaten voor 'sanju tiwari'

Applied Machine Learning and Data Analytics

Artificial Intelligence: Towards Sustainable Intelligence

Knowledge Graphs and Large Language Models

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.

Electronic Governance with Emerging Technologies

Knowledge Graphs and Semantic Web

Open Research Knowledge Graph

As we mark the fifth anniversary of the alpha release of the Open ResearchKnowledge Graph (ORKG), it is both timely and exhilarating to celebrate the significantstrides made in this pioneering project. We designed this book as a tributeto the evolution and achievements of the ORKG and as a practical guide encapsulatingits essence in a form that resonates with both the general reader and thespecialist.The ORKG has opened a new era in the way scholarly knowledge is curated, managed,and disseminated. By transforming vast arrays of unstructured narrative textinto structured, machine-processable knowledge, the ORKG has emerged as anessential service with sophisticated functionalities. Over the past five years, ourteam has developed the ORKG into a vibrant platform that enhances the accessibilityand visibility of scientific research. This book serves as a non-technical guideand a comprehensive reference for new and existing users that outlines theORKG's approach, technologies, and its role in revolutionizing scholarly communication.By elucidating how the ORKG facilitates the collection, enhancement, andsharing of knowledge, we invite readers to appreciate the value and potential ofthis groundbreaking digital tool presented in a tangible form.Looking ahead, we are thrilled to announce the upcoming unveiling of promisingnew features and tools at the fifth-year celebration of the ORKG's alpha release.These innovations are set to redefine the boundaries of machine assistance enabledby research knowledge graphs. Among these enhancements, you can expectmore intuitive interfaces that simplify the user experience, and enhanced machinelearningmodels that improve the automation and accuracy of data curation.We also included a glossary tailored to clarifying key terms and concepts associatedwith the ORKG to ensure that all readers, regardless of their technical background,can fully engage with and understand the content presented. This booktranscends the boundaries of a typical technical report. We crafted this as an inspirationfor future applications, a testament to the ongoing evolution in scholarlycommunication that invites further collaboration and innovation. Let this book serveas both your guide and invitation to explore the ORKG as it continues to grow andshape the landscape of scientific inquiry and communication.