Paperback. Condition: New.
Condition: New. pages cm First edition Includes bibliographical references and index.
Condition: New. pages cm First edition Includes bibliographical references and index.
Paperback. Condition: New.
Condition: New. pages cm.
Condition: New. pages cm.
Condition: New. pages cm.
Condition: New. pages cm.
hardcover. Condition: Fine.
Language: English
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032316691 ISBN 13: 9781032316697
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. 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. This volume 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032316691 ISBN 13: 9781032316697
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032316675 ISBN 13: 9781032316673
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 246 pages. 9.18x6.12x9.21 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 314 pages. 9.18x6.12x9.21 inches. In Stock.
Condition: As New. Unread book in perfect condition.
Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Condition: New.
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032316659 ISBN 13: 9781032316659
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Condition: New. New copy - Usually dispatched within 4 working days. Multiple-component retail product.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119864984 ISBN 13: 9781119864981
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. DATA SCIENCE WITH SEMANTIC TECHNOLOGIES This book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field. To create intelligence in data science, it becomes necessary to utilize semantic technologies which allow machine-readable representation of data. This intelligence uniquely identifies and connects data with common business terms, and it also enables users to communicate with data. Instead of structuring the data, semantic technologies help users to understand the meaning of the data by using the concepts of semantics, ontology, OWL, linked data, and knowledge-graphs. These technologies help organizations to understand all the stored data, adding the value in it, and enabling insights that were not available before. As data is the most important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. Data Science with Semantic Technologies provides a roadmap for the deployment of semantic technologies in the field of data science. Moreover, it highlights how data science 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 provides answers to various questions like: Can semantic technologies be able to facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is knowledge data science? How does knowledge data science relate to other domains? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of researchers? Audience Researchers in the fields of data science, semantic technologies, artificial intelligence, big data, and other related domains, as well as industry professionals, software engineers/scientists, and project managers who are developing the software for data science. Students across the globe will get the basic and advanced knowledge on the current state and potential future of data science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.