Linked Data for Cultural Heritage

Jones, Ed and Michele Seikel, (eds.) Linked Data for Cultural Heritage (An ALCTS Monograph). ALA Editions, 2016. ISBN: 978-0-8389-1439-7

Description

Linked data is essential for sharing library collections on the open web, especially the digital cultural heritage in the collections of libraries, archives, and museums. This collection of essays is designed to help readers understand linked data concepts by examining practice and projects based in familiar concepts like authority control.

Table of Contents

Chapter 1    Linked Open Data and the Cultural Heritage Landscape. By Hilary K. Thorsen and M. Christina Pattuelli

Chapter 2    Making MARC Agnostic: Transforming the English Short Title Catalogue for the Linked Data Universe. By Carl Stahmer

Chapter 3    Authority Control for the Web: Integrating Library Practice with Linked Data. By Allison Jai O’Dell

Chapter 4    Linked Data Implications for Authority Control and Vocabularies: An STM Perspective. By Iker Huerga and Michael P. Lauruhn

Chapter 5    A Division of Labor: The Role of Schema.org in a Semantic Web Model of Library Resources.
By Carol Jean Godby

Chapter 6    BIBFRAME and Linked Data for Libraries. By Sally McCallum

Linked Data for Libraries, Archives and Museums

van Hooland, Seth and RubenVerborgh. Linked Data for Libraries, Archives and Museums: How to Clean, Link and Publish Your Metadata. Neal-Schuman, 2014. ISBN: 978-0-8389-1251-5

Description
Metadata experts van Hooland and Verborgh introduce the core concepts of metadata standards and Linked Data, and show how they can be applied to existing metadata. Giving readers the tools and understanding to achieve maximum results with limited resources, this book covers such crucial topics as

• The value of metadata
• Metadata creation, including architecture, data models, and standards
• Metadata cleaning
• Metadata reconciliation
• Metadata enrichment through Linked Data and named-entity recognition
• Importing and exporting metadata
• Ensuring a sustainable publishing model

Table of Contents
1. Introduction
2. Modeling
3. Cleaning
4. Reconciling
5. Enriching
6. Publishing
7. Conclusions