Natural_Language_Processing_for_the_Semantic_Web
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Series Editors: Ying Ding, Indiana University
Paul Groth, Elsevier Labs
Natural Language Processing for the Semantic Web
Diana Maynard, University of Sheeld
Kalina Bontcheva, University of Sheeld
Isabelle Augenstein, University of College London
is book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible
way, as a series of building blocks that leads 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 dierent, 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 benets 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.
e rst 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. e 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. ese chapters also discuss sentiment analysis, a key component in making sense of textual
data, and the diculties of performing NLP on social media, as well as some proposed solutions. e book nishes
by investigating some applications of these tools, focusing on semantic search and visualization, modeling user
behavior, and an outlook on the future.
REVIEW
is book is a timely exposition of natural language processing and its role and importance for those seeking
to apply semantic technologies. Clearly written with good coverage of the key topics and a comprehensive
bibliography, the text will be invaluable for semantic web practitioners and more widely.
Professor John Davies - BT Research & Technology, Adastral Park UK
store.morganclaypool.com
About SYNTHESIS
This volume is a printed version of a work that appears in the Synthesis
Digital Library of Engineering and Computer Science. Synthesis
books provide concise, original presentations of important research and
development topics, published quickly, in digital and print formats.
MAYNARD • ET AL NATURAL LANGUAGE PROCESSING FOR THE SEMANTIC WEB MORGAN & CLAYPOOL
Series ISSN: 2160-4711
Natural Language
Processing for the
Semantic Web
Diana Maynard
Kalina Bontcheva
Isabelle Augenstein
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