Enhancing Class Management in Chinese Schools Through Semantic Web Technologies

Literature Review

The Semantic Web is a concept that aims to enable better machine processing of information on the web by structuring documents in a way that machines can understand. It involves the use of semantic modeling languages like RDF and topic maps, as well as web ontology languages like DAML+OIL, to achieve this objective (Agius, 2004). The Semantic Web is not just a rehash of existing AI and database work, but rather a multi-disciplinary technological underpinning that combines informational and computational aspects to realize the full potential of the Semantic Web vision (Kashyap et al., 2008). The Semantic Web is a powerful vision that is getting to grips with the challenge of providing more human-oriented web services (Gangemi & Mika, 2003). The Semantic Web is a new area of research and development in the field of computer science, which aims to make it easier for computers to process the huge amount of information on the Web, and indeed other large databases, by enabling computers not only to read, but also understand the information ()(Szeredi 2014). Semantic Web has various applications, including in communication technologies (Luo et al., 2022), cultural heritage (Hyvönen, 2022), healthcare (Narayanasamy et al., 2022; Haque et al., 2022), and virtual communities. The Semantic Web can enhance knowledge exchange, information management, data interoperability, and decision support in various domains. The papers highlight the importance of ontologies in the Semantic Web and the need for further research to address open issues and gaps in the field.