| Semantic Techniques | |
|---|---|
Data Integration and Ontologies Type 1. Document level -- the user can determine what documents might have information of interest
Type 2. Term level -- the user can build reports using items from multiple documents/systems e.g., each cell in a spreadsheet can come from different systems.
Type 3. Inference level -- terms from one or more documents/systems can be combined to derive information (new terms) in the system being examined. |
Data Integration and Ontologies |
| RDF vs Ontologies |
RDF vs Ontologies |
Using Semantic Tools with real data | Using Semantic Tools with real data |
Conflating taxonomies with ontologies -- what's the difference? | Conflating taxonomies with ontologies |
Semantic Interoperability: the adverse events model | Semantic Interoperability with adverse events |
Semantic Interoperability: from Mashups to Inference | Mashup Semantic Interoperability |
owl:sameAs is a very strong assertion Do you really mean it? What are the implications?
| owl:sameAs |
Linked data allows one to avoid the issues with owl:sameas | Linked Data Linked Data | General Data Integration Techniques |
| Giving data unique names Why it is such a good idea |
Uniquely Named Data |