ABSTRACT
Information and Knowledge Organisation explores the role of knowledge organisation in the digital humanities. By focusing on how information is described, represented and organised in both research and practice, this work furthers the transdisciplinary nature of digital humanities.
Including contributions from Asia, Australia, Europe, North America and the Middle East, the volume explores the potential uses of, and challenges involved in, applying the organisation of information and knowledge in the various areas of Digital Humanities. With a particular focus on the digital worlds of cultural heritage collections, the book also includes chapters that focus on machine learning, knowledge graphs, text analysis, text annotations and network analysis. Other topics covered include: semantic technologies, conceptual schemas and data augmentation, digital scholarly editing, metadata creation, browsing, visualisation and relevance ranking. Most importantly, perhaps, the book provides a starting point for discussions about the impact of information and knowledge organisation and related tools on the methodologies used in the Digital Humanities field.
Information and Knowledge Organisation is intended for use by researchers, students and professionals interested in the role information and knowledge organisation plays in the Digital Humanities. It will be essential reading for those working in library and information science, computer science and across the humanities.
The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
TABLE OF CONTENTS
part I|20 pages
Modelling and metadata
part |20 pages
Harmonising conceptual models
chapter 3|19 pages
Collection-level and item-level description in the digital environment
part |23 pages
Metadata aggregation
chapter 4|22 pages
Linked open data and aggregation infrastructure in the cultural heritage sector
part |44 pages
Metadata enrichment
chapter 5|19 pages
A semantic enrichment approach to linking and enhancing Dunhuang cultural heritage data
chapter 6|24 pages
Semantic metadata enrichment and data augmentation of small museum collections following the FAIR principles
part |24 pages
From data to knowledge
part II|50 pages
Information management
part |20 pages
Preserving DH research outputs
chapter 10|19 pages
Linked data strategies for conserving digital research outputs
part III|18 pages
Platforms and techniques
part |17 pages
Data analysis techniques
part |25 pages
User interfaces