Table of Contents:
  • Preface
  • Acknowledgments
  • 1. Cultural heritage on the semantic web
  • 1.1 Characterizing cultural heritage
  • 1.2 Information portals for cultural heritage
  • 1.3 Challenges of cultural heritage data
  • 1.4 Promises of the semantic web
  • 1.5 Outline of the book
  • 1.6 Bibliographical and historical notes
  • 2. Portal model for collaborative CH publishing
  • 2.1 Global access for local linked content
  • 2.1.1 Federated search
  • 2.1.2 Data warehousing
  • 2.2 Collaborative publishing of linked data
  • 2.3 Benefits for end-users
  • 2.4 Benefits for publishers
  • 2.5 New challenges
  • 2.6 Components of a semantic portal system
  • 2.7 Bibliographical and historical notes
  • 3. Requirements for publishing linked data
  • 3.1 Five-star model for linked data
  • 3.1.1 Publishing structured data
  • 3.1.2 Open licensing
  • 3.1.3 Open formats
  • 3.1.4 Requirements for identifiers
  • 3.1.5 Linking data internally and externally
  • 3.2 Requirements for interfaces and APIs
  • 3.2.1 Linked data browsing
  • 3.2.2 SPARQL endpoint
  • 3.2.3 Download facility
  • 3.2.4 Human interfaces
  • 3.3 Bibliographical and historical notes
  • 4. Metadata schemas
  • 4.1 Metadata types
  • 4.2 Web schemas
  • 4.2.1 Dublin core
  • 4.2.2 VRA core categories
  • 4.3 Cataloging schemas
  • 4.3.1 Categories for the description of works of art (CDWA)
  • 4.3.2 SPECTRUM
  • 4.3.3 Metadata formats in libraries
  • 4.3.4 Metadata formats in archives
  • 4.4 Conceptual harmonization schemas
  • 4.4.1 Approaches to semantic interoperability
  • 4.4.2 Europeana semantic elements (ESE)
  • 4.4.3 Europeana data model (EDM)
  • 4.4.4 CIDOC conceptual reference model (CRM)
  • 4.4.5 Functional requirements for bibliographic records (FRBR)
  • 4.4.6 Functional requirements for authority data (FRAD)
  • 4.4.7 Functional requirements for subject authority data (FRSAD)
  • 4.4.8 FRBRoo
  • 4.5 Harvesting schemas: LIDO
  • 4.6 Harvesting and searching protocols
  • 4.6.1 Searching with Z39.50, SRU/SRW, and OpenSearch
  • 4.6.2 Harvesting with OAI-PMH
  • 4.6.3 SPARQL endpoint for linked data
  • 4.7 Discussion: object, event, and process models
  • 4.8 Bibliographical and historical notes
  • 5. Domain vocabularies and ontologies
  • 5.1 Approaches to ontologies
  • 5.1.1 Philosophy
  • 5.1.2 Lexicography and linguistics
  • 5.1.3 Terminology
  • 5.1.4 Information and library science
  • 5.1.5 Computer science
  • 5.2 Semantic web ontology languages
  • 5.2.1 RDF schema
  • 5.2.2 Simple knowledge organization system SKOs
  • 5.2.3 Web ontology language OWL
  • 5.3 Ontology types
  • 5.3.1 Classifications, thesauri, and ontologies
  • 5.3.2 Ontology types by major domains
  • 5.4 Actor ontologies
  • 5.5 Place ontologies
  • 5.6 Time ontologies
  • 5.6.1 Linear time
  • 5.6.2 Cyclic time
  • 5.7 Event ontologies
  • 5.8 Nomenclatures
  • 5.9 Bibliographical and historical notes
  • 6. Logic rules for cultural heritage
  • 6.1 The idea of logic
  • 6.2 Logical interpretation of RDF(s) and OWL
  • 6.3 Rules for reasoning
  • 6.3.1 Horn logic vs. description logics
  • 6.3.2 Closed world assumption
  • 6.3.3 Unique name assumption
  • 6.4 Use cases for rules in cultural heritage
  • 6.5 Bibliographical and historical notes
  • 7. Cultural content creation
  • 7.1 Vocabulary and ontology creation
  • 7.1.1 Conceptual levels of ontology creation
  • 7.1.2 Transforming legacy thesauri into ontologies
  • 7.1.3 Terminology creation
  • 7.1.4 Ontology alignment
  • 7.1.5 Ontology evolution
  • 7.2 Transforming local content into RDF
  • 7.2.1 Transformation process
  • 7.2.2 Transforming relational databases into RDF
  • 7.3 Content aggregation and integration
  • 7.4 Quality of linked data
  • 7.4.1 Data quality of primary sources
  • 7.4.2 Metadata quality
  • 7.4.3 Quality of linked data services
  • 7.5 Bibliographical and historical notes
  • 8. Semantic services for human and machine users
  • 8.1 Classical information retrieval
  • 8.2 Semantic concept-based search
  • 8.2.1 Handling synonyms
  • 8.2.2 Homonyms and semantic disambiguation
  • 8.2.3 Query and document expansion
  • 8.3 Semantic autocompletion
  • 8.4 Faceted semantic search and browsing
  • 8.5 Semantic browsing and recommending
  • 8.6 Relational search
  • 8.7 Visualization and mash-ups
  • 8.7.1 Visualizing dataset clouds
  • 8.7.2 Visualizing ontologies
  • 8.7.3 Visualizing metadata
  • 8.7.4 Visualizing search results
  • 8.8 Personalization and context awareness
  • 8.9 Cross-portal re-use of content
  • 8.10 Bibliographical and historical notes
  • 9. Conclusions
  • Bibliography
  • Author's biography
  • Index.