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 book goes on to discuss the discovery of new knowledge based on current web content, introducing a novel framework for machine-aided knowledge evolution. Later, it describes selected application areas that may benefit from the principles and technologies described. The text offers extensive practical examples and links to existing tools and frameworks to help practitioners quickly implement advanced Web-based knowledge discovery applications.

Key Features

  • Introduces a novel framework for knowledge evolution online
  • Provides a comprehensive summary of current approaches to making the knowledge on the Web more actionable
  • Analyzes current issues, and reviews cutting-edge solutions

Table of 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.


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© 2026
Chandos Publishing
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About the author

Vit Novacek

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