Description
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
Foreword
Christine L. Borgman
Preface
- Knowledge Organisation for Digital Humanities: An Introduction
- Modelling Cultural Entities in Diverse Domains for Digital Archives
- Collection-Level and Item-Level Description in the Digital Environment: Alignment of Conceptual Models IFLA LRM and RiC-CM
- Linked Open Data and Aggregation Infrastructure in the Cultural Heritage Sector: A Case Study of SOCH, a Linked Data Aggregator for Swedish Open Cultural Heritage
- A Semantic Enrichment Approach to Linking and Enhancing Dunhuang Cultural Heritage Data
- Semantic Metadata Enrichment and Data Augmentation of Small Museum Collections Following the FAIR Principles
- Digital Research, the Legacy of Form and Structure and the ResearchSpace System
- Research Access to In-copyright Texts in the Humanities
- SKOS as a Key Element for Linking Lexicography to Digital Humanities
- Linked Data Strategies for Conserving Digital Research Outputs: The Shelf Life of Digital Humanities
- Heritage Metadata: A Digital Periegesis
- Machine Learning Techniques for the Management of Digitised Collections
- Exploring Digital Cultural Heritage through Browsing
Koraljka Golub, Ahmad M. Kamal and Johan Vekselius
PART I. MODELLING AND METADATA
Modelling of cultural heritage data
Shigeo Sugimoto, Chiranthi Wijesundara, Tetsuya Mihara and Kazufumi Fukuda
Harmonising conceptual models
Ana Vukadin and Tamara Štefanac
Metadata aggregation
Marcus Smith
Metadata enrichment
Xiaoguang Wang, Xu Tan, Heng Gui and Ningyuan Song
Andreas Vlachidis, Angeliki Antoniou, Antonis Bikakis and Melissa Terras
From data to knowledge
Dominic Oldman
PART II. INFORMATION MANAGEMENT
Management of textual resources
Peter Organisciak and J. Stephen Downie
Rute Costa, Ana Salgado and Bruno Almeida
Preserving DH research outputs
Florian Kräutli, Esther Chen and Matteo Valleriani
PART III: PLATFORMS AND TECHNIQUES
Specific Platforms
Anna Foka, Kyriaki Konstantinidou, Nasrin Mostofian, Linda Talatas, John Brady Kiesling, Elton Barker, Cenk Demiroglu, Kajsa Palm, David A. McMeekin and Johan Vekselius
Data Analysis Techniques
Mathias Coeckelbergs and Seth van Hooland
User Interfaces
Mark M. Hall and David Walsh
Index
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