Semantic computing explained

Semantic computing is a field of computing that combines elements of semantic analysis, natural language processing, data mining, knowledge graphs, and related fields.

Semantic computing addresses three core problems:

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

The IEEE has held an International Conference on Semantic Computing since 2007. A conference on Knowledge Graphs and Semantic Computing has been held since 2015.^[1]

See also

• Computational semantics
• Semantic audio
• Semantic compression
• Semantic technology
• Semantic network

External links

• IEEE International Conference on Semantic Computing
• IEEE International School on Semantic Computing
• International Journal of Semantic Computing
• Semantic Computing Research Group
• Semantic Link Network

Notes and References

1. Book: Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding: Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers. 2019. Springer Singapore. 978-981-13-3145-9. Zhao. Jun. Communications in Computer and Information Science. en. Harmelen. Frank. Tang. Jie. Han. Xianpei. Wang. Quan. Li. Xianyong.