Ontologies and Big Data Considerations for Effective Intelligence

Ontologies and Big Data Considerations for Effective Intelligence

Joan Lu (University of Huddersfield, UK) and Qiang Xu (University of Huddersfield, UK)
Release Date: February, 2017|Copyright: © 2017 |Pages: 632
ISBN13: 9781522520580|ISBN10: 1522520589|EISBN13: 9781522520597|DOI: 10.4018/978-1-5225-2058-0

Description

Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas.

Ontologies and Big Data Considerations for Effective Intelligence is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as visual analytics, spatial databases, retrieval systems, and ontology models, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Behavioral Targeting
  • Big data
  • Educational Databases
  • Fuzzy Classification
  • Interactive Visual Analytics
  • Ontology
  • Retrieval systems
  • Spatial Databases

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Joan Lu is Professor in Informatics in the University of Huddersfield. She has been working in the areas of XML database, information retrieval research, mobile computing, Internet computing, mobile learning, etc. Her research projects have been collaborated with several EU, UK and other international institutions and industrial partners. The research work has been published into public domain together with a number of researchers in the academic world. She is also a member of British Computer Society, and Fellow of Higher Education Academy, UK.
Qiang Xu is a Senior lecturer at the School of Computing and Engineering in The University of Huddersfield, UK. His research activities cover computational modeling. Previously, Dr Xu was Senior Lecturer in the School of Science and Engineering at Teesside University from 2006 to 2013. In this role, Dr Xu supervised a number of PhD research projects and completed over 15 consultancy and grant applications. Dr Xu was Visiting Professor at the Northwest Polytechnic University, China from 2007 to 2012 and co-editor of two conference proceedings, key note speakers, regular reviewer for several internal journals (reviewed over 70 papers), and several internal conference committee member; and has published more than 70 papers. Dr Xu’s research work has been cited worldwide by researchers in 8 nations including China, the USA, UK, Germany, Poland, India, Iran, and Russia.