Articles liés à Natural Language Processing for the Semantic Web
- ÉditeurSpringer
- Date d'édition2016
- ISBN 10 3031794737
- ISBN 13 9783031794735
- ReliureBroché
- Langueanglais
- Nombre de pages196
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Natural Language Processing for the Semantic Web (Synthesis Lectures on Data, Semantics, and Knowledge)
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Natural Language Processing for the Semantic Web
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Natural Language Processing for the Semantic Web
Edité par
Springer, 2016
ISBN 10 : 3031794737
ISBN 13 : 9783031794735
Ancien ou d'occasion
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Natural Language Processing for the Semantic Web (Synthesis Lectures on Data, Semantics, and Knowledge)
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Natural Language Processing for the Semantic Web
Edité par
Springer, 2016
ISBN 10 : 3031794737
ISBN 13 : 9783031794735
Ancien ou d'occasion
Couverture souple
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Natural Language Processing for the Semantic Web
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Natural Language Processing for the Semantic Web
Edité par
Springer International Publishing Dez 2016, 2016
ISBN 10 : 3031794737
ISBN 13 : 9783031794735
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future. 196 pp. Englisch. N° de réf. du vendeur 9783031794735
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Natural Language Processing for the Semantic Web (Synthesis Lectures on Data, Semantics, and Knowledge)
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Natural Language Processing for the Semantic Web
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Natural Language Processing for the Semantic Web
Edité par
Springer International Publishing, 2016
ISBN 10 : 3031794737
ISBN 13 : 9783031794735
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future. N° de réf. du vendeur 9783031794735
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