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Natural language processing for the semantic web
Maynard D., Bontcheva K., Augenstein I., Morgan & Claypool Publishers, San Rafael, CA, 2017. 196 pp. Type: Book (978-1-627059-09-1)
Date Reviewed: Oct 4 2017

A hands-on reference book, Natural language processing for the semantic web offers useful introductory insight and a catalogue of methods and tools related to the theory and practice of unstructured data management.

The book is divided into ten chapters that comprehensively cover the aspects of natural language processing (NLP) in its connection with the semantic web. They include basic descriptions of the steps of automatic language processing, entity recognition, relation extraction, linking, ontology development, sentiment analysis, social media, and application areas of the outlined topics. Each chapter is supplied with explanatory parts and references to off-the-shelf tools that have been developed to address the specific issue the chapter is about. It is noticeable throughout the book that a certain emphasis is put on the features and capabilities provided by GATE, the platform developed and maintained at the University of Sheffield, but a fair amount of other outstanding tools have found their place in the work, too.

Written in a very accessible and clear manner, the book is very easy to read and to be understood by an audience unfamiliar with the topic of unstructured data management, and provides a quite detailed overview of tools that can be adopted by practitioners getting inaugurated into this field. Clear and concise content with basic explanations, 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.

Reviewer:  Mariana Damova Review #: CR145572 (1712-0788)
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