Natural Language Processing for the Semantic Web

Nonfiction, Computers, Advanced Computing, Natural Language Processing, Artificial Intelligence, Database Management, Data Processing
Cover of the book Natural Language Processing for the Semantic Web by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein, Morgan & Claypool Publishers
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Diana Maynard, Kalina Bontcheva, Isabelle Augenstein ISBN: 9781627056328
Publisher: Morgan & Claypool Publishers Publication: December 13, 2016
Imprint: Morgan & Claypool Publishers Language: English
Author: Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
ISBN: 9781627056328
Publisher: Morgan & Claypool Publishers
Publication: December 13, 2016
Imprint: Morgan & Claypool Publishers
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Morgan & Claypool Publishers

Cover of the book Numerical Solutions of Boundary Value Problems with Finite Difference Method by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Skin Photoaging by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Applied Digital Logic Exercises Using FPGAs by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Quantum Computing for Computer Architects by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Graphene Optics by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book An Introduction to Planetary Nebulae by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Relativity, Symmetry, and the Structure of Quantum Theory, Volume 2 by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Computation in Science by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Beyond Curie by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book The Melencolia Manifesto by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book From Newton to Einstein by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Essentials of Game Theory by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Declarative Logic Programming by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Is It the 'Same' Result by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Cover of the book Advances in Solid State Theory by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy