Contents

Executive Summary
1. Introduction and overview
1.1. Background
1.2. Advantages and disadvantages of classification
1.3. The typology of classification schemes
1.3.1. Types of classification systems
1.3.2. Universal classification schemes
1.3.3. National general schemes
1.3.4. Subject specific schemes
1.3.5. Home-grown schemes
2. Current use of classification schemes in existing search services
2.1 The Dewey Decimal System (DDC)
2.1.1. Extent of usage in Internet services
2.1.2. Extent of usage in traditional and other online services
2.1.3. Multilingual capability
2.1.4. Strengths and weaknesses of the scheme
2.1.5. Integration between classification scheme and other systems e.g. controlled subject headings
2.1.6. Linking DDC to third party classification data
2.1.7. Digital availability
2.1.8. Copyright
2.1.9. Extensibility and development effort of the scheme
2.1.10. Other issues
2.2. Universal Decimal Classification (UDC)
2.2.1. Extent of usage in Internet services
2.2.2. Extent of usage in traditional and other online services
2.2.3. Multilingual capability
2.2.4. Strengths and weaknesses of the scheme
2.2.5. Integration between classification scheme and other systems e.g. controlled subject headings
2.2.6. Linking UDC to third party classification data
2.2.7. Digital availability
2.2.8. Copyright
2.2.9. Extensibility and development effort of the scheme
2.2.10. Other Issues
2.3. Library of Congress Classification System (LCC)
2.3.1. Internet services using the Library of Congress Classification System and/or Library of Congress Subject Headings
2.3.1.1 Library of Congress Classification System (LCC)
2.3.1.2 Library of Congress Subject Headings (LCSH)
2.3.2. Extent of usage in traditional and other online services
2.3.3. Multilingual capability
2.3.4. Strengths/weaknesses in the subject areas of interest for the DESIRE testbeds
2.3.5. Integration between classification scheme and other systems e.g. controlled subject headings
2.3.6. Linking LCC to third party classification data
2.3.7. Digital availability
2.3.8. Copyright
2.3.9. Extensibility and development effort of the scheme
2.3.10. Other issues
2.4. National general schemes
2.4.1. Nederlandse Basisclassificatie (BC)
2.4.1.1. Usage
2.4.1.2. Multilingual capability
2.4.1.3. Strengths and weaknesses
2.4.1.4. Integration between classification scheme and controlled subject headings
2.4.1.5. Linking to third party classification data
2.4.1.6. Publication in digital form
2.4.1.7. Copyright issues
2.4.1.8. Extensibility and development effort provided by the authoritative body that controls the scheme
2.4.1.9 Possibilities for conversion
2.1.1.10 Literature on BC
2.4.2. Sveriges Allmänna Biblioteksförening (SAB) Classification System
2.4.2.1 Usage
2.4.2.2 Strengths and Weaknesses
2.4.2.3 Linking to third party classification data
2.4.2.4 Publication in digital form
2.4.2.5 Copyright issues
2.4.2.6 Extensibility and development effort provided by the authoritative body that controls the scheme
2.4.2.7 Literature on SAB
2.5. International subject specific schemes
2.5.1. Art
2.5.1.1 Iconclass
2.5.2. Social Sciences
2.5.3. Medicine
2.5.3.1 NLM: National Library of Medicine
2.5.4. Science and engineering
2.5.4.1. Engineering Information (Ei) Classification Codes
2.5.4.2. Mathematics Subject Classification
2.5.4.3. ACM Computing Classification System (CCS)
3. Review of attempts to apply classification in automated services
3.1. Background
3.2. Automatic classification of WAIS databases using UDC
3.3. Automatic classification of WWW resources in a robot-generated index using computer linguistic methods
3.4. Automatic classification and indexing using DDC (Project Scorpion, OCLC)
3.5. Improvement of classification by Neural Network techniques
3.6. Automatic conversions between classification schemes
3.7. Summary
4. Conclusion
Appendix 1: E-mail Questionnaire sent to Internet Services using UDC
Bibliography and References

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Last updated: 15-May-1997