What you will learn from this course

• Understand the difference between traditional ER modeling and Semantic Modeling
• Be able to articulate how implementing structure-free models can greatly reduce the cost of implementing many classes of systems.
• Be conversant with the “Open World” hypothesis and know when and how to apply it.
• Be aware of sources of semi-structured information that can be combined with existing data to augment an enterprise application.
• Have a greatly expanded working vocabulary.
• Be in a position to wrest control of the definition of SOA messages by explaining the benefits of deriving them from a common message model, which in turn is derived from an ontology.

Course Outline

• Semantic Technology, the Fundamental Differences – Will cover all the nomenclature and how it is different from traditional technology. (3 hours)
• Structure-Free Models – What does it mean to divorce the structure of a model from its meaning? How does this make systems more evolvable? We’ll have a simple example system and show how you can change the type of an individual while the system is running and change the type structure in an existing system. (3 hours)
• Linked Open Data/Linked Enterprise Data – Describe and demo DBPedia/Metaweb, etc. Show how a wealth of data could be accessed. Have a mashup that accessed the LOD Cloud. (3 hours)
• Deriving Your SOA from an Enterprise Ontology – How to build an Enterprise Ontology, derive a canonical model from it, and then derive the SOA messages from the canonical. (3 hours)