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Natural Language Processing for the Semantic Web by Diana Maynard (English) Pape

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9783031794735
Book Title
Natural Language Processing for the Semantic Web
ISBN
9783031794735
Publication Year
2016
Series
Synthesis Lectures on Data, Semantics, and Knowledge Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Natural Language Processing for the Semantic Web
Author
Isabelle Augenstein, Kalina Bontcheva, Diana Maynard
Item Length
9.3in
Publisher
Springer International Publishing A&G
Item Width
7.5in
Item Weight
13.4 Oz
Number of Pages
Xiv, 182 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3031794737
ISBN-13
9783031794735
eBay Product ID (ePID)
14057281330

Product Key Features

Author
Isabelle Augenstein, Kalina Bontcheva, Diana Maynard
Publication Name
Natural Language Processing for the Semantic Web
Format
Trade Paperback
Language
English
Publication Year
2016
Series
Synthesis Lectures on Data, Semantics, and Knowledge Ser.
Type
Textbook
Number of Pages
Xiv, 182 Pages

Dimensions

Item Length
9.3in
Item Width
7.5in
Item Weight
13.4 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Qa1-939
Original Language
English
Table of Content
Acknowledgments.- Introduction.- Linguistic Processing.- Named Entity Recognition and Classification.- Relation Extraction.- Entity Linking.- Automated Ontology Development.- Sentiment Analysis.- NLP for Social Media.- Applications.- Conclusions.- Bibliography.- Authors' Biographies .
Copyright Date
2017
Topic
Web / Web Programming, General, Data Processing
Dewey Decimal
006.35
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Mathematics

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