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Making Sense of the Web: Towards machine-aided knowledge evolutionVit Novacek, Digital Enterprise Research Institute (DERI), Republic of Ireland
Chandos Publishing Social Media Series No. 11
- introduces a novel framework for knowledge evolution online
- provides a comprehensive summary of current approaches to making the knowledge on the web more actionable
- analyses current issues, and reviews cutting edge solutions
- looks at practical tools and frameworks addressing theoretical concerns
- connects the philosophical foundations of ontology with practical representation, extraction and exploitation of knowledge on the web
Extremely large amounts of knowledge are available on the World Wide Web. Making Sense of the Web focuses on making better use of this knowledge, including how the web can be used for machine-aided discovery of new knowledge. The first part of the book reviews various historical approaches to defining and studying knowledge and describing how knowledge can be represented online. The second part presents current approaches to efficient exploitation of knowledge online, and focuses on the Semantic Web, linked open data and social network analysis. The third part of the book introduces possible approaches to semi-automated discovery of new knowledge based on current web content, and introduces a novel framework for machine-aided knowledge evolution. The last part describes selected application areas that may benefit from the principles and technologies described. Extensive practical examples and links to existing tools and frameworks are provided to help practitioners implement advanced web-based knowledge discovery applications quickly.
ISBN 1 84334 725 3
ISBN-13: 978 1 84334 725 5
May 2014
200 pages 234 x 156mm paperback
Approx. £47.50 / US$80.00 / €55.00
Not yet published
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About the author
Vit Novacek holds a PhD from the Digital Enterprise Research Institute at the National University of Ireland, Galway. He also holds BSc and MSc degrees in theoretical computer science and artificial intelligence (AI) from Masaryk University in the Czech Republic. Vit's current research focuses on AI techniques for describing and enabling knowledge emergence from on-line content. He is also interested in applying his research in the context of life sciences and bioinformatics. He has been the primary author of over 20 peer-reviewed international publications, and was plenary speaker at a premier national AI conference. In 2009, Vit was a recipient of the 2nd prize in the Elsevier Grand Challenge competition aimed at knowledge enhancement in life sciences
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Contents
Part 1 Introduction; Background: Knowledge and its actionable representation; Web as a global knowledge base. Part 2 Making sense of the web: Semantic web and linked open data; Social network analysis; Open issues and possible solutions. Part 3 Towards machine-aided knowledge evolution: From (semantic) web to knowledge web; Sparking the knowledge evolution. Part 4 Selected application areas: Knowledge discovery; Publishing and library science. Part 5 Conclusions: The status quo and future outlook.