Abstract
The overarching aim of the Semantic Web is to allow computers to perform more valuable research and to construct structures that can facilitate reliable connections around the Network. Semantic Web applications help people to establish data stores on the Internet, build vocabulary, and compose data handling guidelines. Using the details of metadata, the semantic web recovers efficiently the web page user is searching for. Authors have introduced Semantic web, its development and technologies in brief, in this work. Provenance is the most crucial feature in for trustworthiness of semantic web. This feature is focused with the help of provenance data model. Authors discussed semantic web implementations such as semantic web desktop, geospatial semantic web etc. and their applications in different fields such as agriculture, healthcare, and IoT.
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Prasad, J.R., Shelke, P.M., Prasad, R.S. (2021). Semantic Web Technologies. In: Pandey, R., Paprzycki, M., Srivastava, N., Bhalla, S., Wasielewska-Michniewska, K. (eds) Semantic IoT: Theory and Applications. Studies in Computational Intelligence, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-64619-6_2
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