Description: Introduction to the problems and methods of organizing information, including information structures, knowledge schemas, data structures, terminological control, index language functions, and implications for searching.
Concepts:
- Entropy vs. Cybernetics
- Claude Shannon
- Metadata: Dublin Core
- Expressing Qualified Dublin Core in HTML/XHTML
- RDF/XML
- Other Popular Metadata Schemes
- EAD, FGDC/CSDGM, PICS, VRA-Core, A-CORE, V-Card, RSS, TEI, GILS, DARWIN CORE
- Qualifiers
- DCMI Terms
- Types of Metadata Standards
- Data structure, data communication, data syntax, data value
- MARC
- XML
- SGML
- Modeling/frameworks, packaging
- RDF, FRBR, Z39.50, METS, Dublin Core Abstract Model
- Classification
- Von Linne (father of taxonomy) & Callimachus (1st librarian/ontologist)
- Pure vs. Mixed Classification
- Classification of Knowledge vs. Expansive Classification Development
- Broad vs. Close Classification
- Integrity of Numbers vs. Keeping Pace w/Knowledge
- Principles for Classifying Information Documents
- Dewey Decimal System
- Facets: AAT, Ranganathan's Colon Classification (PMEST), XFML
- Automatic Classification vs. Manual Classification
- Clustering
- Vocabulary Systems: Languages for Aboutness
- Taxonomies
- Ontologies
- Indexing
- Recall vs. Precision
- Stemming
- Statistical Analysis
- Clustering
- Thesauri
- Semantic relationships
- Thesaural identifiers (SN, USE, UF, BT...)
- Exhaustivity
- Coextensivity
- Precoordinate Indexing vs. Postcoordinate Indexing
- Syntagmatic vs. Paradigmatic Relationships
- Ontologies & the Semantic Web
- Ontology Continuum: Simple keyword lists, thesauri/CV, Deeper Thesauri, Taxonomies, Low-level Ontolo
- Natural Language vs. Controlled Vocabulary