As part of their Semantic University, Cambridge Semantics has published a number of helpful “lessons” covering concepts related to the Semantic Web. Since we last checked in with this excellent tutorial series, they have added several lessons:

Semantic Web vs. Semantic Technologies – “That Semantic Web technologies and semantic technologiesboth start with semantic is often a source of confusion. This short lesson clarifies the relationship between Semantic Web technologies and semantic technologies.”

Semantic Search and the Semantic Web – “While Semantic Web and Semantic Search are not the same thing, the two concepts are often confused. This lesson will briefly define Semantic Web and Semantic Search and then explain how the two may be used together.”

NLP and the Semantic Web – “Natural language processing (NLP) and Semantic Web technologies are both Semantic Technologies, but with different and complementary roles in data management. In fact, the combination of NLP and Semantic Web technologies enables enterprises to combine structured and unstructured data in ways that are simply not practical using traditional tools. This lesson will introduce NLP technologies and illustrate how they can be used to add tremendous value in Semantic Web applications.”

RDF 101 – “RDF (Resource Description Framework) is one of the three foundational Semantic Web technologies, the other two being SPARQL and OWL. In particular, RDF is the data model of the Semantic Web. That means that all data in Semantic Web technologies is represented as RDF. If you store Semantic Web data, it’s in RDF. If you query Semantic Web data (typically using SPARQL), it’s RDF data. If you send Semantic Web data to your friend, it’s RDF.

RDF Nuts & Bolts – “In RDF 101 we presented a conceptual introduction to RDF. Now we need to get down to brass tacks. What does “real” RDF look like? How do you create it? What vocabulary do you use? In this lesson, we will continue where RDF 101 left off by providing the details surround RDF creation and usage.”

Image: Courtesy Cambridge Semantics