It is widely pointed out that classical ontology is not sufficient to deal with imprecise and vague knowledge for some real world applications like personal diabetic diet recommendation. On the other hand, fuzzy ontology can effectively help to handle and process uncertain data and knowledge. Recently, the research on the ontology has been spread widely to be critical components in the knowledge management, Semantic Web, business-to-business applications, and several other application areas. Ontologies are a suitable way for representing complex knowledge and facilitating knowledge share and reuse. The concept of ontology has been widely embraced by the fuzzy research community by playing an important role in the development of distributed systems and the composition reveals a vital strategy for enterprise collaboration. In this context, the Fuzzy Markup Language (FML) is one of the most important results because it allows fuzzy scientists to express their ideas in abstract and interoperable way by improving their productivity and, at the same time, increasing the average quality of their works. This special session invites high-quality conceptual, analytical and empirical articles representing intelligent agent and knowledge mining information systems and their integration. The objective of the proposed special issue is to highlight an ongoing research on fuzzy and FML approaches for ontology applications as well as their applications on various domains.

Topics of interest (not limited to):

1. -Ontologies and Ontological Agents
   

2. -FML Agents for Software Engineering
   

3. -FML Agents for Knowledge Discovery
   

4. -FML Agents in a Neuro Fuzzy Approach
   

5. -Environment-aware Agents
   

6. -Agents for Intelligent Manufacturing Systems
   

7. -Intelligent Agent Applications
   

8. -Knowledge Representation with Ontology
   

9. -FML in Evolvable Hardware
   

10. -Knowledge-Based Systems
    

11. -Semantic Interoperability
    

12. -Semantic Web Agents
    

13. -Healthcare Ontological Agents
    

14. -Agents for Knowledge Management
    

15. -Embedded Agents
    

16. -FML Agents for E-Commerce
    

17. -FML Agents for Smart Environments
    

18. -FML Agents for Ambient Intelligence
    

19. -Knowledge Sharing with FML Agents
    

20. -Distributed Mining with FML Agents
    

21. -Web Services Applications based on FML
    

22. -FML Applications