Items related to Natural Language Processing for the Semantic Web (Synthesis...
Natural Language Processing for the Semantic Web (Synthesis Lectures on the Semantic Web: Theory and Technology) - Hardcover
Synopsis
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.
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About the Author
Diana Maynard is a Senior Researcher at the University of Sheffield. She obtained a Ph.D. on the topic of Automatic Term Recognition from Manchester Metropolitan University in 2000, and has been involved in research in NLP and text mining since 1994. Her main research interests are in information extraction, opinion mining, social media analysis, term extraction, ontology development, and the Semantic Web. Since 2000 she has led the development of USFD's open-source multilingual IE tools, and has led research on a number of UK and EU projects including COMRADES, DecarboNet, Arcomem, KnowledgeWeb, and NeOn. She regularly provides consultancy and training on NLP and GATE use in the public and private sector, and is advisor to two start-up companies. She has published extensively, organized national and international conferences and workshops, given numerous invited talks and tutorials, reviews regularly for conferences and journals, and was the organizer of the ISWC Semantic Web Challenge from 2010-2013. She has examined a number of Ph.D.s in the UK and abroad, is the Book Review Editor for the Journal of Natural Language Engineering, and reviews project proposals for the ESRC and RNTL.
Review
“Written in a very accessible and clear manner, the book is very easy to read and to be understood... this book is good reading for young students and scholars or practitioners looking to start real-life projects in the field of NLP and the semantic web.” – Mariana Damova for Computing Reviews
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- PublisherMorgan & Claypool
- Publication date2016
- ISBN 10 1681732343
- ISBN 13 9781681732343
- BindingHardcover
- LanguageEnglish
- Number of pages196
- EditorAugenstein Isabelle
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