2 Domain vs. World Knowledge  
2.1 Domain Knowledge and Domain Adaptation  
2.2 World Knowledge and Domain Adaptation  

3 Machine Learning with World Knowledge: An Overview  

4 Representation: World Knowledge as Features  
4.1 Explicit Homogeneous Features  
4.2 Explicit Heterogeneous Features  
4.3 Implicit Features  

5 Inference with World Knowledge  
5.1 Entity Linking  
5.2 Semantic Parsing  

6 Learning: Related Learning Paradigms  
6.1 Paradigms Enabled by World Knowledge Features  
6.2 Paradigms Enabled by World Knowledge Supervision  

7 Conclusion and Future Directions