Semantic computing

Currently, Semantic computing is a topic that has captured the attention of a wide public due to its impact on different areas of society. Since its emergence, Semantic computing has generated debates and discussions ranging from its relevance in history to its influence on people's daily lives. In this article, we will explore in detail the most significant aspects related to Semantic computing, analyzing its origins, evolution and the implications it has today. Additionally, we will examine how Semantic computing has shaped different aspects of culture, politics, economics and technology, showing its influence in different contexts over time.

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.

See also

References

  1. ^ 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