Natural Language Processing for the Semantic Web. Diana Maynard
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Natural Language Processing for the Semantic Web
Synthesis Lectures on the Semantic Web: Theory and Technology
Editor
Ying Ding, Indiana University
Paul Groth, Elsevier Labs
Synthesis Lectures on the Semantic Web: Theory and Application is edited by Ying Ding of Indiana University and Paul Groth of Elsevier Labs. Whether you call it the Semantic Web, Linked Data, or Web 3.0, a new generation of Web technologies is offering major advances in the evolution of the World Wide Web. As the first generation of this technology transitions out of the laboratory, new research is exploring how the growing Web of Data will change our world. While topics such as ontology-building and logics remain vital, new areas such as the use of semantics in Web search, the linking and use of open data on the Web, and future applications that will be supported by these technologies are becoming important research areas in their own right. Whether they be scientists, engineers or practitioners, Web users increasingly need to understand not just the new technologies of the Semantic Web, but to understand the principles by which those technologies work, and the best practices for assembling systems that integrate the different languages, resources, and functionalities that will be important in keeping the Web the rapidly expanding, and constantly changing, information space that has changed our lives.
Topics to be included:
• Semantic Web Principles from linked-data to ontology design
• Key Semantic Web technologies and algorithms
• Semantic Search and language technologies
• The Emerging “Web of Data” and its use in industry, government and university applications
• Trust, Social networking and collaboration technologies for the Semantic Web
• The economics of Semantic Web application adoption and use
• Publishing and Science on the Semantic Web
• Semantic Web in health care and life sciences
Natural Language Processing for the Semantic Web
Diana Maynard, Kalina Bontcheva, and Isabelle Augenstein
2016
The Epistemology of Intelligent Semantic Web Systems
Mathieu d’Aquin and Enrico Motta
2016
Entity Resolution in the Web of Data
Vassilis Christophides, Vasilis Efthymiou, and Kostas Stefanidis
2015
Library Linked Data in the Cloud: OCLC’s Experiments with New Models of Resource Description
Carol Jean Godby, Shenghui Wang, and Jeffrey K. Mixter
2015
Semantic Mining of Social Networks
Jie Tang and Juanzi Li
2015
Social Semantic Web Mining
Tope Omitola, Sebastián A. Ríos, and John G. Breslin
2015
Semantic Breakthrough in Drug Discovery
Bin Chen, Huijun Wang, Ying Ding, and David Wild
2014
Semantics in Mobile Sensing
Zhixian Yan and Dipanjan Chakraborty
2014
Provenance: An Introduction to PROV
Luc Moreau and Paul Groth
2013
Resource-Oriented Architecture Patterns for Webs of Data
Brian Sletten
2013
Aaron Swartz’s A Programmable Web: An Unfinished Work
Aaron Swartz
2013
Incentive-Centric Semantic Web Application Engineering
Elena Simperl, Roberta Cuel, and Martin Stein
2013
Publishing and Using Cultural Heritage Linked Data on the Semantic Web
Eero Hyvönen
2012
VIVO: A Semantic Approach to Scholarly Networking and Discovery
Katy Börner, Michael Conlon, Jon Corson-Rikert, and Ying Ding
2012
Linked Data: Evolving the Web into a Global Data Space
Tom Heath and Christian Bizer
2011
Copyright © 2017 by Morgan & Claypool
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher.
Natural Language Processing for the Semantic Web
Diana Maynard, Kalina Bontcheva, and Isabelle Augenstein
www.morganclaypool.com
ISBN: 9781627059091 paperback
ISBN: 9781627056328 ebook
DOI 10.2200/S00741ED1V01Y201611WBE015
A Publication in the Morgan & Claypool Publishers series
SYNTHESIS LECTURES ON THE SEMANTIC WEB: THEORY AND TECHNOLOGY
Lecture #15
Series Editors: Ying Ding, Indiana University
Paul Groth, Elsevier Labs
Founding Editor Emeritus: James Hendler, Rensselaer Polytechnic Institute
Series ISSN
Print 2160-4711 Electronic 2160-472X
Natural Language