Data science with semantic technologies. Deployment and exploration /

Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do. Data...

Full description

Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Patel, Archana (Lecturer in software engineering) (Editor), Debnath, N. C. (Narayan C.) (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press, 2023.
Subjects:	Big data. Semantic computing. Artificial intelligence. Information science. Information technology. Données volumineuses. Informatique sémantique. Intelligence artificielle. Sciences de l'information. Technologie de l'information. artificial intelligence. information science. information technology. TECHNOLOGY / Operations Research TECHNOLOGY / Manufacturing Artificial intelligence Big data Information science Information technology Semantic computing Electronic books.
Online Access:	Connect to the full text of this electronic book Connect to the full text of this electronic book

Description
Summary:	Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do. Data Science with Semantic Technologies: Deployment and Exploration, the second volume of a two-volume handbook set, provides a roadmap for the deployment of semantic technologies in the field of data science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book offers the answer to various questions like: What makes a technology semantic as opposed to other approaches to data science? What is knowledge data science? How does knowledge data science relate to other fields? This book explores the optimal use of these technologies to provide the highest benefit to the user under one comprehensive source and title. As there is no dedicated book available in the market on this topic at this time, this book becomes a unique resource for scholars, researchers, data scientists, professionals, and practitioners. This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation.
Physical Description:	1 online resource (x, 236 pages)
Bibliography:	Includes bibliographical references and index.
ISBN:	9781003310792 1003310796 9781000881271 100088127X 9781000881295 1000881296