Semantic Web Technologies And Applications In Artificial Intelligence Of Things

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About this topic

Semantic Web Technologies and their applications in the context of the Artificial Intelligence of Things (AIoT) represent a rapidly evolving field that integrates data, technology, and intelligent systems. This intersection focuses on enhancing the interconnectedness of devices and services through semantic understanding, enabling more effective communication and data sharing. Readers interested in this topic will find insights into how semantic technologies can improve decision-making, automation, and the overall functionality of AIoT systems. This area of study is crucial for those looking to explore innovative solutions in smart environments and data-driven applications.

Key Topics to Explore

  • Semantic Web Principles
  • Artificial Intelligence of Things (AIoT)
  • Data Integration Techniques
  • Interoperability Challenges
  • Smart Environment Applications

What You Will Find

Books on Semantic Web Technologies and AIoT typically cover a range of styles from academic texts to practical guides. Readers can expect to encounter theoretical frameworks, case studies, and discussions on the latest advancements in technology. The content may vary in complexity, catering to both newcomers and seasoned professionals looking to deepen their understanding of how semantic web technologies enhance AIoT applications.

Common Questions

What are Semantic Web Technologies?

Semantic Web Technologies are a set of standards and tools designed to enhance the sharing and reuse of data across various systems, enabling machines to understand and interpret the semantics of information.

How does AIoT relate to Semantic Web?

AIoT combines artificial intelligence with the Internet of Things, leveraging semantic web technologies to improve data interoperability and enhance the functionality of connected devices.

What applications can benefit from Semantic Web in AIoT?

Applications in smart homes, healthcare, transportation, and industrial automation can significantly benefit from the integration of semantic web technologies, leading to improved efficiency and smarter decision-making.

Semantic Web Technologies and Applications in Artificial Intelligence of Things


Semantic Web Technologies and Applications in Artificial Intelligence of Things

Author: Ortiz-Rodriguez, Fernando

language: en

Publisher: IGI Global

Release Date: 2024-05-16


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The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of this synergy extends far beyond the realms of industry, research, and society; it shapes the very fabric of our future. Semantic Web Technologies and Applications in Artificial Intelligence of Things is a meticulously crafted reference that not only acknowledges this significance but also serves as a guide for those navigating the complexities of Industry 4.0 and AIoT. This curated compendium of cutting-edge technologies acts as a veritable knowledge base for future developments. As academics, scholars, and industry professionals, the ideal audience of this book, will find meticulously curated content that caters to their diverse interests and expertise, covering topics ranging from smart agriculture, manufacturing, industry, health sciences, and government. Seasoned academics, students, and visionary industry leaders, will find this book to be an indispensable guide that paves the way for innovation and progress.

Canadian Semantic Web


Canadian Semantic Web

Author: Weichang Du

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-08-19


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The emergence of Web technologies for the distribution of an immense amount of data and knowledge has given rise to the need for supportive frameworks for kno- edge management. Semantic Web technologies aim at providing shared semantic spaces for Web contents, such that people, applications and communities can use a common platform to share information. Canadian Semantic Web: Technologies and Applications aims at contributing to the advancement of the Semantic Web by providing the most recent signi?cant - search on Semantic Web theory, techniques and applications in academia, industry and government in Canada and all over the world. It also enlightens possible - mantic Web research directions in future by reporting some works in-progress that presenton-goingresearchonprinciplesandapplicationsoftheSemanticWeb,while their implementation or deployment may have not been completed. This book consists of ten chapters. The chapters are extended versions of a - lected set of papers from the second Canadian Semantic Web Working Symposium (CSWWS 2009) and the twenty-?rst international Conference on Software En- neering and Knowledge Engineering (SEKE 2009). CSWWS 2009 was held in Kelowna, British Columbia in May 2009. Since many of the challenging aspects of the research problems tackled in the Semantic Web area fall in the realm of Ar- ?cial Intelligence or employ of AI techniques, CSWWS 2009 was organized in - nd sociation with the 22 Canadian Conference on Arti?cial Intelligence.

Semantic Web Technologies


Semantic Web Technologies

Author: Archana Patel

language: en

Publisher: CRC Press

Release Date: 2022-10-17


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Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in ‘epidemic Covid-19’, ‘e-learning platforms and systems’, ‘block chain’, ‘open online courses’, and ‘visual analytics in healthcare’ is described as well. This book: Explores all the critical aspects of semantic web technologies (SWTs) Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains Provides a template to develop a wide range of smart and intelligent applications Includes latest applications and examples with real data This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.

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