|- acquire knowledge of the field
- develop ability to summarize main points of an article
- develop ability to represent knowledge in ontological format
- develop ability to develop a project independently in a group format
The World Wide Web is becoming the primary source for storing and accessing data. However, its content is marked up in such a way that it is accessible almost exclusively to humans. If we want to enable intelligent services such as information brokers, search agents or information filters to access and process information stored on the WWW, we will soon discover the current technologies will limit us, because the information is hardly structured. An interesting alternative is the creation of a Semantic Web in which meaning is made explicit, allowing machines to process and integrate Web resources intelligently. There is a lot of research currently going on about the Semantic Web and we have now arrived at a point where we want to see how those new standards and tools, hold out in a practical situation. In this course, we will investigate which tools and technologies are currently available, and how they will perform in practice. More specifically, we will discuss ontologies, a key element of the Semantic Web vision as well, as standards such as RDF and OWL. We will also focus on a new development which is often referred to as the Social Web by considering social media applications such as Flikr, Delicious or Youtube and social networks such as mySpace, Facebook and Linkedin. The role that tagging and light ontologies plays in these systems will be addressed. We will also analyze the way knowledge evolves from private knowledge to public knowledge and how socialization has an impact in the creation of a knowledge infrastructure which can be used and manipulated.