Ontology Engineering. Elisa F. Kendall

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       Ontology Engineering

       Synthesis Lectures on the Semantic Web: Theory and Technology

      Editors

       Ying Ding, Indiana University

       Paul Groth, University of Amsterdam

      Founding Editor

       James Hendler, Rensselaer Polytechnic Institute

      Synthesis Lectures on the Semantic Web: Theory and Technology is edited by Ying Ding of Indiana University and Paul Groth of University of Amsterdam. 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

      Ontology Engineering

      Elisa F. Kendall and Deborah L. McGuinness

      2019

      Demystifying OWL for the Enterprise

      Michael Uschold

      2018

      Validating RDF

      Jose Emilio Labra Gayo, Eric Prud’hommeaux, Iovka Boneva, and Dimitris Kontokostas

      2017

      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 © 2019 by Morgan and 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.

      Ontology Engineering

      Elisa F. Kendall and Deborah L. McGuinness

       www.morganclaypool.com

      ISBN: 9781681733104 print

      ISBN: 9781681733098 ebook

      ISBN: 9781681733081 paperback

      ISBN: 9781681735221 EPUB

      DOI 10.2200/S00834ED1V01Y201802WBE018

      A Publication in the Morgan and Claypool Publishers series

       SYNTHESIS LECTURES ON THE SEMANTIC WEB: THEORY AND TECHNOLOGY

      Lecture #18

      Series Editors: Ying Ding, Indiana University, Paul Groth, University of Amsterdam

      Founding Editor: James Hendler

      Series ISSN 2160-4711 Print 2160-472X Electronic

       Ontology Engineering

      Elisa F. Kendall

      Thematix Partners LLC

      Deborah L. McGuinness

      Rensselaer Polytechnic Institute

       SYNTHESIS LECTURES ON THE SEMANTIC WEB: THEORY AND TECHNOLOGY #18

       ABSTRACT

      Ontologies have become increasingly important as the use of knowledge graphs, machine learning, natural language processing (NLP), and the amount of data generated on a daily basis has exploded. As of 2014, 90% of the data in the digital universe had been generated in the preceding two years, and the volume of data was projected to grow from 3.2 zettabytes to 40