Library Linked Data in the Cloud
OCLC's Experiments with New Models of Resource Description
Authors
Jean Godby, Ph.D.
Senior Research Scientist
Shenghui Wang, Ph.D.
Research Scientist
Jeff Mixter
Sr. Software Engineer
Contents
- Preface
- 1 Library Standards and the Semantic Web
- 2 Modeling Library Authority Files
- 2.1 Strings and Things
- 2.2 From Authority Records to RDF Triples
- 2.2.1 The MARC 21 Authority Format
- 2.2.2 MARC 21 Authority Records Modeled in SKOS
- 2.2.3 The FOAF Model of ‘Person’
- 2.2.4 The Library of Congress Authority Files
- 2.2.5 The Faceted Application of Subject Terminology
- 2.2.6 The Dewey Decimal Classification
- 2.2.7 Summary: First-Generation RDF Models of Library Authority Files
- 2.3 The Virtual International Authority File
- 2.4 Chapter Summary
- 3 Modeling and Discovering Creative Works
- 4 Entity Identification Through Text Mining
- 4.1 The Need
- 4.1.1 Text Mining Defined
- 4.1.2 Associating Text with a URI
- 4.2 Recognizing Key Entities
- 4.2.1 Labeled Names
- 4.2.2 Names in Semi-structured Text
- 4.2.3 Names in Unstructured Text
- 4.3 Concept Matching
- 4.3.1 Creating Alignments
- 4.3.2 Linked Library Vocabularies
- 4.4 Clustering
- 4.5 Chapter Summary
- 4.1 The Need
- 5 The Library Linked Data Cloud
- Bibliography