Web 3.0 Search Engine Performance contains information introducing the reader to the concepts, algorithms, and applications required to understand search engine performance issues as the web moves toward Web 3.0. With the vast amount of Big Data and IOT coupled with smarter mobile devices, web search performance must be enhanced. This book will cover the topics needed to understand the performance issues, search algorithms, and semantic web architecture and will guide the user in understanding the software and hardware platform issues and requirements to support better performance. In essence, the book is an educational tool leading to the understanding of the algorithms and performance issues of the web and provide necessary knowledge to address those issues with Web 3.0. What you'll learn * This book reviews the role of search engines, current algorithms and deficiencies * Discusses the semantic web vision and ontologies (representing entities using concept-based methods which define a kind of taxonomy or hierarchy) * Topics such as annotations and new concepts like "spanning forest" as well as hardware and software implications for providing the best performance. Who this book is for Web 3.0 Search Engine Performance is targeted at engineers, students of engineering, and system designers seeking knowledge and guidance in the creation of new algorithms, software and hardware to support faster search engines that will provide optimal performance from personal mobile devices to the processing and service platforms in the cloud.
Number of pages: 300
Weight: 454 g
Edition: New ed.
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