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Library Linked Data in the Cloud

Book Description

This book describes OCLC’s contributions to the transformation of the Internet from a web of documents to a Web of Data. The new Web is a growing ‘cloud’ of interconnected resources that identify the things people want to know about when they approach the Internet with an information need. The linked data architecture has achieved critical mass just as it has become clear that library standards for resource description are nearing obsolescence. Working for the world’s largest library cooperative, OCLC researchers have been active participants in the development of next generation standards for library resource description. By engaging with an international community of library and Web standards experts, they have published some of the most widely used RDF datasets representing library collections and librarianship. This book focuses on the conceptual and technical challenges involved in publishing linked data derived from traditional library metadata. This transformation is a high priority because most searches for information start not in the library, nor even in a Web-accessible library catalog, but elsewhere on the Internet. Modeling data in a form that the broader Web understands will project the value of libraries into the Digital Information Age. The exposition is aimed at librarians, archivists, computer scientists, and other professionals interested in modeling bibliographic descriptions as linked data. It aims to achieve a balanced treatment of theory, technical detail, and practical application.

Table of Contents

  1. Cover
  2. Half title
  3. Copyright
  4. Title
  5. Contents
  6. Preface
  7. 1 Library Standards and the Semantic Web
    1. 1.1 The Web of Documents and the Semantic Web
      1. 1.1.1 Records and Graphs
      2. 1.1.2 The Linked Data Cloud
    2. 1.2 OCLC’s Experiments in Context
      1. 1.2.1 Web Standards for Delivering Documents and Things
      2. 1.2.2 The Library Community Responds
      3. 1.2.3 Linked Data in WorldCat
    3. 1.3 A Technical Introduction
      1. 1.3.1 From a MARC 21 Record to RDF
      2. 1.3.2 Managing Entities in the Web of Data
      3. 1.3.3 A Systems Perspective
    4. 1.4 Chapter Summary
  8. 2 Modeling Library Authority Files
    1. 2.1 Strings and Things
    2. 2.2 From Authority Records to RDF Triples
      1. 2.2.1 The MARC 21 Authority Format
      2. 2.2.2 MARC 21 Authority Records Modeled in SKOS
      3. 2.2.3 The FOAF Model of ‘Person’
      4. 2.2.4 The Library of Congress Authority Files
      5. 2.2.5 The Faceted Application of Subject Terminology
      6. 2.2.6 The Dewey Decimal Classification
      7. 2.2.7 Summary: First-Generation RDF Models of Library Authority Files
    3. 2.3 The Virtual International Authority File
      1. 2.3.1 The VIAF Database Record Structure
      2. 2.3.2 The VIAF Model of ‘Person’
      3. 2.3.3 A Note about Uniform Titles
    4. 2.4 Chapter Summary
  9. 3 Modeling and Discovering Creative Works
    1. 3.1 Library Cataloging and Linked Data
    2. 3.2 The FRBR Group I Conceptual Model
    3. 3.3 FRBR in the Web of Data
    4. 3.4 The OCLC Model of Works
      1. 3.4.1 Extending
      2. 3.4.2 Modeling FRBR Concepts in and BiblioGraph
      3. 3.4.3 A Note About URI Design
      4. 3.4.4 BiblioGraph: A Curated Vocabulary for
      5. 3.4.5 Other Models of Creative Works
      6. 3.4.6 The OCLC Model of Works: A Summary
    5. 3.5 Discovering Creative Works Through Data Mining
      1. 3.5.1 Identifying Works and Expressions
      2. 3.5.2 Identifying Manifestations and Items
    6. 3.6 Chapter Summary
  10. 4 Entity Identification Through Text Mining
    1. 4.1 The Need
      1. 4.1.1 Text Mining Defined
      2. 4.1.2 Associating Text with a URI
    2. 4.2 Recognizing Key Entities
      1. 4.2.1 Labeled Names
      2. 4.2.2 Names in Semi-structured Text
      3. 4.2.3 Names in Unstructured Text
    3. 4.3 Concept Matching
      1. 4.3.1 Creating Alignments
      2. 4.3.2 Linked Library Vocabularies
    4. 4.4 Clustering
    5. 4.5 Chapter Summary
  11. 5 The Library Linked Data Cloud
    1. 5.1 A Look Back and Forward
    2. 5.2 Next Steps
    3. 5.3 A Few Lessons and Some Persistent Challenges
      1. 5.3.1 Conceptual Challenges
      2. 5.3.2 Technical Challenges
      3. 5.3.3 Environmental Challenges
  12. Bibliography
  13. Authors’ Biographies