Information and Knowledge Organisation in Digital Humanities

In this review of Information and Knowledge Organisation in Digital Humanities, the book is presented as a focused resource for researchers and practitioners working at the intersection of cultural heritage and computational methods. The single biggest reason to buy is its thematic concentration on how information is described, represented and organised across diverse digital humanities contexts, making it a useful reference for anyone seeking practical perspectives on knowledge organisation in projects that use machine learning, knowledge graphs or text analysis.

Key Features

• Transdisciplinary coverage: The volume gathers perspectives from Asia, Australia, Europe, North America and the Middle East, offering comparative insight into global practice.
• Focus on cultural heritage: Several chapters address organisation of information specifically for cultural heritage collections, benefitting archivists and museum technologists.
• Practical computational topics: Includes discussions of machine learning, knowledge graphs and network analysis that link theory to technical approaches.
• Text-centred methods: The book examines text analysis and annotations, useful for researchers working with digitised corpora and scholarly editions.
• Bridges research and practice: Emphasis on how description and representation decisions affect both research outcomes and applied systems.

Who It's For

Information and Knowledge Organisation is best for scholars, digital humanists, librarians and cultural heritage professionals who need a compact collection of essays tying together metadata, ontologies and computational techniques. It is especially suitable for those designing or evaluating projects that use knowledge graphs or machine learning to structure cultural data.

Readers seeking introductory primers on programming or step-by-step software tutorials should look elsewhere, as the book foregrounds conceptual and applied research perspectives rather than beginner coding instruction.

Pros & Cons

Pros

• Cross-regional contributions provide a variety of methodological and cultural viewpoints.
• Clear attention to cultural heritage use cases makes it practically relevant for museums and archives.
• Coverage of semantic technologies and text annotations connects theory with common digital humanities tools.

Cons

• The book is a collection of chapters, so depth varies by contribution and it is not a unified textbook.
• Readers expecting detailed software tutorials or code examples may find the focus more conceptual than hands-on.

Specifications

Title	Information and Knowledge Organisation in Digital Humanities
Series	Digital Research in the Arts and Humanities
Editors / Authors	Koraljka Golub, Ying-Hsang Liu
Scope	Information description, representation and organisation in digital humanities
Topics covered	Machine learning, knowledge graphs, text analysis, annotations, network analysis, semantic tech
Geographical perspectives	Asia, Australia, Europe, North America, Middle East

Our Verdict

For practitioners and researchers who need informed, cross-regional perspectives on how knowledge organisation shapes digital humanities work, this volume is a compact and thoughtful resource. It brings useful connections between semantic technologies and cultural heritage practice, offering good value as a reference for project design and critical reflection.

Frequently Asked Questions

Does this book include technical case studies?
Yes, it includes chapters that discuss practical applications such as knowledge graphs, machine learning and text annotation in research and heritage settings.

Is this suitable for beginners in digital humanities?
It is most helpful for readers with some background in digital humanities or library and information science; it is less of a beginner programming guide.

Are global perspectives included?
Yes, contributions come from multiple regions including Asia, Europe, North America, Australia and the Middle East.