Revolutionizing Big Data Processing with Semantic++ Computing Advances Efficiency
The article discusses how big data and semantic++ computing are important for data-intensive applications. It explains the concepts of big data and semantic computing, focusing on semantic++ understanding based on big data. The researchers analyze different aspects such as storage, information acquisition, management, processing, service, security, privacy, interface, and applications of big data resources. They propose two semantic++ applications, including a search and recommendation system framework. The simulation experiment shows that the semantic++ search and recommendation method is more efficient than traditional methods.