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Semantic Techniques for the Web, Francois Bry; Jan Maluszynski


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Цена: 10480.00р.
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Автор: Francois Bry; Jan Maluszynski
Название:  Semantic Techniques for the Web
ISBN: 9783642045806
Издательство: Springer
Классификация:

ISBN-10: 3642045804
Обложка/Формат: Paperback
Страницы: 392
Вес: 0.61 кг.
Дата издания: 2009
Серия: Lecture notes in computer science / information systems and applications, incl. internet/web, and hci
Язык: English
Иллюстрации: Illustrations
Размер: 236 x 155 x 23
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: The rewerse perspective
Ссылка на Издательство: Link
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Поставляется из: Германии


Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems

Автор: Ryszard Kowalczyk
Название: Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
ISBN: 3642044409 ISBN-13(EAN): 9783642044403
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments.

The Semantic Web - ISWC 2009

Автор: Abraham Bernstein; David R. Karger; Tom Heath; Lee
Название: The Semantic Web - ISWC 2009
ISBN: 364204929X ISBN-13(EAN): 9783642049293
Издательство: Springer
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Цена: 23757.00 р.
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Cases On Open-Linked Data And Semantic Web Applications

Автор: Ord??ez De Pablos, Lytras, Tenny
Название: Cases On Open-Linked Data And Semantic Web Applications
ISBN: 1466628278 ISBN-13(EAN): 9781466628274
Издательство: Mare Nostrum (Eurospan)
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Цена: 25502.00 р.
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Описание: With the purpose of building upon standard web technologies, open linked data serves as a useful way to connect previously unrelated data and to publish structured data on the web. The application of these elements leads to the creation of data commons called semantic web. <br><br><em>Cases on Open-Linked Data and Semantic Web Applications</em> brings together new theories, research findings and case studies which cover the recent developments and approaches towards applied open linked data and semantic web in the context of information systems. By enhancing the understanding of open linked data in business, science and information technologies, this reference source aims to be useful for academics, researchers, and practitioners. With the purpose of building upon standard web technologies, open linked data serves as a useful way to connect previously unrelated data and to publish structured data on the web. The application of these elements leads to the creation of data commons called semantic web.

Semantic Web

Автор: Sheth
Название: Semantic Web
ISBN: 1466636106 ISBN-13(EAN): 9781466636101
Издательство: Mare Nostrum (Eurospan)
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Цена: 27720.00 р.
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Описание: Semantic web continues to be an increasingly important system for allowing end-users to share and communicate information online. <br><br><em>Semantic Web: Ontology and Knowledge Base Enabled Tools, Services and Applications</em> focuses on the information systems discipline and the tools and techniques utilized for the emerging use of semantic web. Covering topics on semantic search, ontologies, and recommendation systems, this publication is essential for academics, practitioners, and industry professionals.

Natural Language Understanding in a Semantic Web Context

Автор: Barri?re
Название: Natural Language Understanding in a Semantic Web Context
ISBN: 331941335X ISBN-13(EAN): 9783319413358
Издательство: Springer
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Цена: 7965.00 р.
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Описание: This book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer. NLP can effectively help uncover the large portions of data held as unstructured text in natural language, thus augmenting the real content of the Semantic Web in a significant and lasting way. The book covers the basics of NLP, with a focus on Natural Language Understanding (NLU), referring to semantic processing, information extraction and knowledge acquisition, which are seen as the key links between the SW and NLP communities. Major emphasis is placed on mining sentences in search of entities and relations. In the course of this “quest', challenges will be encountered for various text analysis tasks, including part-of-speech tagging, parsing, semantic disambiguation, named entity recognition and relation extraction. Standard algorithms associated with these tasks are presented to provide an understanding of the fundamental concepts. Furthermore, the importance of experimental design and result analysis is emphasized, and accordingly, most chapters include small experiments on corpus data with quantitative and qualitative analysis of the results.This book is divided into four parts. Part I “Searching for Entities in Text” is dedicated to the search for entities in textual data. Next, Part II “Working with Corpora” investigates corpora as valuable resources for NLP work. In turn, Part III “Semantic Grounding and Relatedness” focuses on the process of linking surface forms found in text to entities in resources. Finally, Part IV “Knowledge Acquisition” delves into the world of relations and relation extraction. The book also includes three appendices: “A Look into the Semantic Web” gives a brief overview of the Semantic Web and is intended to bring readers less familiar with the Semantic Web up to speed, so that they too can fully benefit from the material of this book. “NLP Tools and Platforms” provides information about NLP platforms and tools, while “Relation Lists” gathers lists of relations under different categories, showing how relations can be varied and serve different purposes. And finally, the book includes a glossary of over 200 terms commonly used in NLP.The book offers a valuable resource for graduate students specializing in SW technologies and professionals looking for new tools to improve the applicability of SW techniques in everyday life – or, in short, everyone looking to learn about NLP in order to expand his or her horizons. It provides a wealth of information for readers new to both fields, helping them understand the underlying principles and the challenges they may encounter.


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