Semantic computing

Semantic computing is a field that addresses three core problems:

1. Understanding the (possibly naturally expressed) intentions (semantics) of user and expressing them in a machine processable language
2. Understanding the meanings (semantics) of computational content (of various sorts, including, but is not limited to, text, video, audio, process, network, software, hardware) and expressing them in a machine processable language
3. Mapping the semantics of user with that of content for the purpose of content retrieval, management, creation, etc.

Semantic computing is the first intention of possibly multiple intentions of every computation. Usually semantic computing takes the form of expressions of concepts at conceptual leval. A clarification of the actually intentions underneath the notations of a superficial conceptual expression involves the formalization of the semantic of the related concepts and possibly their logic backgroups such as open world assumption (OWA) vs. close world assumption(CWA) at semantic level instead of at conceptual leval[1].

Further reading

• Semantic Computing, eds. P. Sheu, H. Yu, C.V. Ramamoorthy, A. Joshi and L.A. Zadeh, IEEE/Wiley, 2010

References

[1] Y. Duan, C. Cruz (2011), Formalizing Semantic of Natural Language through Conceptualization from Existence. International Journal of Innovation, Management and Technology(2011) 2 (1), pp. 37-42.</ref>.

External links

• IEEE International Conference on Semantic Computing
• IEEE International School on Semantic Computing
• International Journal of Semantic Computing
• Institute for Semantic Computing
• Semantic Computing Research Group