{"title":"Archana Patel","description":null,"products":[{"product_id":"data-science-with-semantic-technologies-book-archana-patel-9781032316697","title":"Data Science with Semantic Technologies","description":"\u003cp\u003eGone 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.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eData Science with Semantic Technologies: Deployment and Exploration\u003c\/em\u003e, 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. \u003c\/p\u003e\u003cp\u003eAs 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. 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This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eData Science with Semantic Technologies: New Trends and Future Developments\u003c\/em\u003e highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as: Can semantic technologies 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 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 the researchers? 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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. 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