As the semantic web slowly transforms into the Internet of Things, it is ideal to have the foundational technologies of both summarized in one place.

This paper cogently describes the technologies underpinning the semantic web and the Internet of Things. The motivations listed for the development of the semantic web, such as data integration and data accessibility, are broadly correct. The tools of the semantic web--such as the representational languages, including the resource description framework (RDF) and the web ontology language (OWL), and data access languages, including SPARQL--are treated in sufficient depth for a reader to understand.

The three main challenges to realizing the semantic web and Internet of Things visions are enumerated. First, fast ubiquitous access will need to be provided at a cheap enough price. Second, in the Internet of Things world, processes, terminals, and data will be heterogeneous; the interoperability of these entities will be a pressing problem. The concept of linked data is useful to mitigate the challenge of semantic interoperability. Third, the Internet of Things will enable a high level of service collaboration, so the issue of effective service composability needs to be solved.

Some of the major application domains where the semantic web can be useful are enumerated. Domains such as information retrieval and extraction, machine translation, lexicography, and content analysis are succinctly described.

All in all, this paper gives a good introduction to the semantic web and its evolution to the Internet of Things, providing breadth rather than depth. However, it makes up for its lack of depth with a very extensive bibliography.