Linked Data in Linguistics, Christian Chiarcos; Sebastian Nordhoff; Sebastian

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
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Цена: 35330.00 T
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Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Автор: Adam Przepi?rkowski; Maciej Piasecki; Krzysztof Ja
Название: Computational Linguistics
ISBN: 3642343988 ISBN-13(EAN): 9783642343988
Издательство: Springer
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Цена: 130610.00 T
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Описание: This presentation of the latest developments in computational linguistics covers the fast-moving field of information extraction, with papers from the CLA `11 conference held in Poland including recent successes in developing intelligent personal assistants.

Название: Linked data and knowledge graph
ISBN: 3642540244 ISBN-13(EAN): 9783642540240
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the refereed proceedings of the Seventh Chinese Semantic Web Symposium and the Second Chinese Web Science Conference, CSWS 2013, held in Shanghai, China in August 2013. The 14 revised full papers presented together with 6 short papers and 3 poster papers were carefully reviewed and selected from 48 submissions.

Автор: Jeff Z. Pan; Guido Vetere; Jose Manuel Gomez-Perez
Название: Exploiting Linked Data and Knowledge Graphs for Large Organisations
ISBN: 3319456520 ISBN-13(EAN): 9783319456522
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and "standard" data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps.

It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.

Автор: Nikolaos Konstantinou; Dimitrios-Emmanuel Spanos
Название: Materializing the Web of Linked Data
ISBN: 331935745X ISBN-13(EAN): 9783319357454
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data.

Автор: Maosong Sun; Yang Liu; Jun Zhao
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319122762 ISBN-13(EAN): 9783319122762
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the refereed proceedings of the 13th China National Conference on Computational Linguistics, CCL 2014, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2014, held in Wuhan, China, in October 2014. text mining, open IE and machine reading of the Web;

Автор: Nikolaos Konstantinou; Dimitrios-Emmanuel Spanos
Название: Materializing the Web of Linked Data
ISBN: 3319160737 ISBN-13(EAN): 9783319160733
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data.

Автор: Roland Hausser
Название: Foundations of Computational Linguistics
ISBN: 3662496003 ISBN-13(EAN): 9783662496008
Издательство: Springer
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Цена: 79190.00 T
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Описание: This book presents a unique approach to natural-language processing, with the ultimate goal being the creation of cognitive machines that humans can freely talk with in their respective natural language.

Автор: Roland Hausser
Название: Foundations of Computational Linguistics
ISBN: 3642414303 ISBN-13(EAN): 9783642414305
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book presents a unique approach to natural-language processing, with the ultimate goal being the creation of cognitive machines that humans can freely talk with in their respective natural language.

Автор: Jes?s Romero-Trillo
Название: Yearbook of Corpus Linguistics and Pragmatics 2016
ISBN: 3319417320 ISBN-13(EAN): 9783319417325
Издательство: Springer
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Цена: 93160.00 T
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Описание: The present volume of the Yearbook of Corpus Linguistics and Pragmatics series, presents cutting-edge corpus pragmatics research on language use in new social and educational environments.
The Yearbook of Corpus Linguistics and Pragmatics offers a platform to scholars who carry out rigorous and interdisciplinary research on language in real use. Corpus Linguistics and Pragmatics have traditionally represented two paths of scientific research, parallel but often mutually exclusive and excluding. Corpus Linguistics can offer a precise methodology based on mathematics and statistics while Pragmatics strives to interpret intended meaning in real language. This series will give readers insight into how pragmatics can be used to explain real corpus data, and how corpora can illustrate pragmatic intuitions.

Автор: Maosong Sun; Xuanjing Huang; Hongfei Lin; Zhiyuan
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319476734 ISBN-13(EAN): 9783319476735
Издательство: Springer
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Цена: 61490.00 T
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Описание: This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016.

Автор: Maosong Sun; Min Zhang; Dekang Lin; Haifeng Wang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3642414907 ISBN-13(EAN): 9783642414909
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013.