Abstract
A Hands-on Project for Teaching Semantic Web Technologies in an Undergraduate AI Course
Highlights
Semantic Web (SW) is envisioned to extend and dramatically improve current web services by providing a universal language for information exchange allowing data to be shared and reused by applications
The hands-on project presented in this paper aims to introduce students to the Semantic Web and Linked Data technologies in practical terms and at the same time extend their understanding of knowledge engineering to include ontological modelling and semantic mark-up
We show that combining SROIQ(D) reasoning with Semantic Web Rule Language (SWRL) rules can improve run-time efficiency and avoid some of the pitfalls of Description Logics (DLs) reasoning caused by the Open World Assumption (OWA)
Summary
Semantic Web (SW) is envisioned to extend and dramatically improve current web services by providing a universal language for information exchange allowing data to be shared and reused by applications. Since Tim Berners-Lee coined the term in late 1990s, the enthusiasm for implementing his vision has grown exponentially, and nowadays the theory and practice of the Semantic Web is mature enough to make a difference in how to utilize the enormous amount of information available on the web. These new technologies are outside the mainstream of undergraduate CS curriculum. The hands-on project presented in this paper aims to introduce students to the Semantic Web and Linked Data technologies in practical terms and at the same time extend their understanding of knowledge engineering to include ontological modelling and semantic mark-up.
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