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:
- Understanding the (possibly naturally-expressed) intentions (semantics) of users and expressing them in a machine-processable format
- 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
- 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]
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See also
References
- ^ Zhao, Jun; Harmelen, Frank; Tang, Jie; Han, Xianpei; Wang, Quan; Li, Xianyong, eds. (2019). Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding: Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers. Communications in Computer and Information Science. Springer Singapore. ISBN 978-981-13-3145-9.
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
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This page was last edited on 10 April 2024, at 08:36