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Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, Xiaoyan Zhu; Bing Qin; Xiaodan Zhu; Ming Liu; Long


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Цена: 7685.00р.
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Автор: Xiaoyan Zhu; Bing Qin; Xiaodan Zhu; Ming Liu; Long
Название:  Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding
ISBN: 9789811519550
Издательство: Springer
Классификация:



ISBN-10: 9811519552
Обложка/Формат: Soft cover
Страницы: 211
Вес: 0.36 кг.
Дата издания: 2019
Серия: Communications in Computer and Information Science
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 56 illustrations, color; 149 illustrations, black and white; xiv, 211 p. 205 illus., 56 illus. in color.
Размер: 234 x 156 x 12
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 4th China Conference, CCKS 2019, Hangzhou, China, August 24–27, 2019, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 4th China Conference on Knowledge Graph and Semantic Computing, CCKS 2019, held in Hangzhou, China, in August 2019. The 18 revised full papers presented were carefully reviewed and selected from 140 submissions. The papers cover wide research fields including the knowledge graph, the semantic Web, linked data, NLP, information extraction, knowledge representation and reasoning.
Дополнительное описание: language understanding.- knowledge acquisition.- intelligent services in the context of big data.- academic workshops.- industrial forum.- evaluation and competition.- knowledge graph summit review.- knowledge graph representation and reasoning.- informat



Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data

Автор: Chen
Название: Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data
ISBN: 9811031673 ISBN-13(EAN): 9789811031670
Издательство: Springer
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Цена: 8385.00 р.
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Описание: This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016.The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.

Knowledge Processing with Interval and Soft Computing

Автор: Chenyi Hu; R. Baker Kearfott; Andre de Korvin; Vla
Название: Knowledge Processing with Interval and Soft Computing
ISBN: 1849967849 ISBN-13(EAN): 9781849967846
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Interval computing combined with fuzzy logic is an emerging tool in studying artificial intelligence and knowledge processing (AIKP) applications. This accessible book, a must-read for those in AI, provides introductions for both interval and fuzzy computing.

Soft Computing for Knowledge Discovery

Автор: James G. Shanahan
Название: Soft Computing for Knowledge Discovery
ISBN: 0792379187 ISBN-13(EAN): 9780792379188
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Knowledge discovery is an area of computer science that attempts to uncover interesting patterns in data that permit a computer to perform a task autonomously. This title provides a self-contained exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective.

Integration of World Knowledge for Natural Language Understanding

Автор: Ekaterina Ovchinnikova
Название: Integration of World Knowledge for Natural Language Understanding
ISBN: 9462390398 ISBN-13(EAN): 9789462390393
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications.

Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding

Автор: Jun Zhao; Frank van Harmelen; Jie Tang; Xianpei Ha
Название: Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding
ISBN: 9811331456 ISBN-13(EAN): 9789811331459
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018.The 27 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 101 submissions. The papers cover wide research fields including the knowledge graph, information extraction, knowledge representation and reasoning, linked data.

Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence

Автор: Li
Название: Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence
ISBN: 9811073589 ISBN-13(EAN): 9789811073588
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the Second China Conference on Knowledge Graph and Semantic Computing, CCKS 2017, held in Chengdu, China, in August 2017. The 11 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 85 submissions.

Knowledge-Driven Computing

Автор: Carlos Cotta; Simeon Reich; Antoni Ligeza
Название: Knowledge-Driven Computing
ISBN: 3642096190 ISBN-13(EAN): 9783642096198
Издательство: Springer
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Цена: 30606.00 р.
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Описание: The main aim of this volume has been to gather together a selection of recent papers providing new ideas and solutions for a wide spectrum of Knowledge-Driven Computing approaches.

Soft Computing for Knowledge Discovery

Автор: James G. Shanahan
Название: Soft Computing for Knowledge Discovery
ISBN: 1461369479 ISBN-13(EAN): 9781461369479
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently.
Soft Computing for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. na ve Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others). In addition to describing many state-of-the-art soft computing approaches to knowledge discovery, the author introduces Cartesian granule features and their corresponding learning algorithms as an intuitive approach to knowledge discovery. This new approach embraces the synergistic spirit of soft computing and exploits uncertainty in order to achieve tractability, transparency and generalization. Parallels are drawn between this approach and other well known approaches (such as naive Bayes and decision trees) leading to equivalences under certain conditions.
The approaches presented are further illustrated in a battery of both artificial and real-world problems. Knowledge discovery in real-world problems, such as object recognition in outdoor scenes, medical diagnosis and control, is described in detail. These case studies provide further examples of how to apply the presented concepts and algorithms to practical problems.
The author provides web page access to an online bibliography, datasets, source codes for several algorithms described in the book, and other information.
Soft Computing for Knowledge Discovery is for advanced undergraduates, professionals and researchers in computer science, engineering and business information systems who work or have an interest in the dynamic fields of knowledge discovery and soft computing.

Intelligent and Knowledge-Based Computing for Business and Organizational Advancements

Автор: Hideyasu Sasaki, Dickson K.W. Chiu, Epaminondas Kapetanios, Patrick C.K. Hung, Frederic Andres
Название: Intelligent and Knowledge-Based Computing for Business and Organizational Advancements
ISBN: 146661577X ISBN-13(EAN): 9781466615779
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Examines the emerging computing paradigm of Collective Intelligence (CI). The global contributions contained in this publication will be essential to both researchers and practitioners in the computer and information science communities as these populations move toward a new period of fully technology-integrated business.

Knowledge Computing and its Applications

Автор: S. Margret Anouncia; Uffe Kock Wiil
Название: Knowledge Computing and its Applications
ISBN: 981108257X ISBN-13(EAN): 9789811082573
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book highlights technical advances in knowledge management and their applications across a diverse range of domains. It explores the applications of knowledge computing methodologies in image processing, pattern recognition, health care and industrial contexts. The chapters also examine the knowledge engineering process involved in information management. Given its interdisciplinary nature, the book covers methods for identifying and acquiring valid, potentially useful knowledge sources. The ideas presented in the respective chapters illustrate how to effectively apply the perspectives of knowledge computing in specialized domains.

Knowledge Computing and Its Applications

Автор: S. Margret Anouncia; Uffe Kock Wiil
Название: Knowledge Computing and Its Applications
ISBN: 9811338906 ISBN-13(EAN): 9789811338908
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book provides a major forum for the technical advancement of knowledge management and its applications across diversified domains. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, data mining, recommender systems, image processing, pattern recognition and predictions using machine learning techniques is the major strength of this book.   Effective knowledge management has become a key to the success of business organizations, and can offer a substantial competitive edge.   So as to be accessible to all scholars, this book combines the core ideas of knowledge management and its applications in numerous domains, illustrated in case studies. The techniques and concepts proposed here can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas.

Knowledge Computing and its Applications

Автор: S. Margret Anouncia; Uffe Kock Wiil
Название: Knowledge Computing and its Applications
ISBN: 9811341028 ISBN-13(EAN): 9789811341021
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book highlights technical advances in knowledge management and their applications across a diverse range of domains. It explores the applications of knowledge computing methodologies in image processing, pattern recognition, health care and industrial contexts. The chapters also examine the knowledge engineering process involved in information management. Given its interdisciplinary nature, the book covers methods for identifying and acquiring valid, potentially useful knowledge sources. The ideas presented in the respective chapters illustrate how to effectively apply the perspectives of knowledge computing in specialized domains.


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