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Data science with semantic technologies : theory, practice, and application / edited by Archana Patel, Narayan C. Debnath and Bharat Bhusan
(Advances in intelligent and scientific computing)

データ種別	電子ブック
出版者	(Hoboken, NJ ; Beverly, MA : John Wiley & Sons, Inc. : Scrivener Publishing LLC)
出版年	2022
大きさ	1 online resource (xviii, 433 pages) : illustrations (chiefly color), color maps
著者標目	Patel, Archana editor Debnath, Narayan C. editor Bhusan, Bharat editor

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0005258	Wiley Online Library: Complete oBooks				9781119865322

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一般注記	Includes bibliographical references and index Description based on online resource; title from digital title page (viewed on November 07, 2022) 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? John Wiley and Sons Wiley Online Library: Complete oBooks HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119865339
件　名	LCSH:Semantic computing LCSH:Electronic data processing CSHF:Informatique s�emantique FREE:Electronic data processing FREE:Semantic computing
分　類	LCC:QA76.5913 DC23:006
書誌ID	EB00004547
ISBN	9781119865322