construction of a call number by computer artificial intelligence able to identify the subject and sub-subjects of the document doubt about the capability of computers for classification similar automatic production of title indexes or keyword enhanced indexes attempts to design a powerful automatic

1. AUTOMATIC CLASSIFICATION
Presented by Abdul Moid

2. Introduction
 oldest and most prominent knowledge
organisation tools
 magic technology
 Projects
-DDC,UDC,LCC

3. Concep
t
 construction of a call number by computer
 artificial intelligence
 able to identify the subject and sub-subjects of the
document
 doubt about the capability of computers for
classification
 similar automatic production of title indexes or
keyword enhanced indexes
 attempts to design a powerful automatic

4.  Class Coverage and Characteristics
 Source of Knowledge
 Developing background knowledge
 Integration of multiple sources
Challenges

5. Classification Techniques/Models
 facet formula
 based on postulates and principles
 Analysing the title
 finding noun phrases,
 picking up isolate numbers,
 symbols,
 basic subject notation from the knowledge base,
etc.

6. Semantic Indexing Techniques
and Classification Models

7. Conclusion
Panigrahi
 representational model of Analytico Synthetic
Kim and Lee
 the facet classification principles
And Wang
 DDC
 state-of-the-art text categorization technologies
 classification accuracy of nearly 90 per cent is
achieved

8. THANK
YOU