Natural Language Semantics In Krr
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Natural Language Processing
Author: Ela Kumar
language: en
Publisher: I. K. International Pvt Ltd
Release Date: 2013-12-30
Covers all aspects of the area of linguistic analysis and the computational systems that have been developed to perform the language analysis. The book is primarily meant for post graduate and undergraduate technical courses.
Formal Ontology in Information Systems
Formal Ontology in Information Systems (FOIS) is the flagship conference of the International Association for Ontology and its Applications, a non-profit organization promoting interdisciplinary research and international collaboration at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science. This book presents the 11 papers accepted for the 12th edition of FOIS. The conference was held from 13-17 September 2021 in Bozen-Bolzano, Italy, as a hybrid event with some participants attending on-site in Bolzano and others attending virtually online. The papers are divided into 3 sections and cover a wide range of topics: (1) Foundations, addressing fundamental issues; (2) Applications and Methods, presenting novel uses, systems, tools, and approaches; and (3) Domain Ontology, describing well-formed ontologies in particular subject areas.
AI Systems
This book provides a comprehensive exploration of Artificial Intelligence systems, spanning foundational concepts, technical underpinnings, design principles, human interaction, ethics, applications, and future directions. It begins by establishing core definitions, historical context, and the various types of AI, from narrow task-specific models to the visionary goal of artificial general intelligence (AGI). The technical foundations delve into key algorithms, machine learning models, deep learning architectures, natural language processing, computer vision, reinforcement learning, and knowledge representation techniques that empower AI capabilities. Moving into design and architecture, the book examines data acquisition, model training, validation, deployment, and the challenges of scalability and optimization critical to building robust AI systems. The section on human-AI interaction addresses user interfaces, explainability, collaboration, and trust—highlighting the importance of transparency and interpretability for real-world adoption. Ethical considerations form a substantial focus, investigating issues of bias, fairness, privacy, safety, and governance frameworks necessary to ensure responsible AI development. The applications section showcases AI’s transformative impact across healthcare, finance, robotics, communication, and creative arts, illustrating both current achievements and future potential. Finally, the book surveys emerging technologies, explores the frontier of general AI, and reflects on societal impacts, including opportunities and risks. Overall, this work serves as a foundational guide for understanding the multidisciplinary landscape of AI systems, blending theory and practice while emphasizing the technical, ethical, and societal dimensions shaping the future of artificial intelligence.