Questions to be answered by the introspector
Todays entry will start by defining the questions to be answered and give you a structure to the problem of the introspector rdf data.
Here are the questions to be answered :
- How can you describe code so that is can be generated?
- How can you transform from the high level structures that you want to think in into the structure of the code that the compiler uses
- How can you transform from the low level structures that the compiler stores the code in into the structure of the code that you want to read?
- What is the relationship between the ontology and the structure of the code?
- What is the structure of the rdf data?
- How can a rdf data set be converted into an ontology?
- How can you create code out of a ontology?
- How can you create the ontology out of the rdf data?
- How does the structure of the gcc affect the structure of the rdf data?
- How does the structure of the input source code affect the structure of the rdf data?
- What if the input source code to the introspector is the dumper code?
- How does the structure of the dumper code affect the structure of the rdf data?
- What is the relationship between the ontology and a query?
- How can an ontology be converted into a set of queries that checks a set of rdf data for meeting that ontology?
- How can a query be optimized by consuting an ontology?
- What is the relationship between an index and an ontology?
- What are the types of queries needed?
- What are the cardinalities of the data sets?
- What are histograms of values in a property?
- What are primary keys of class?
- How can a rdf data set have statistics extracted from it that feeds the indexing, ontology, query optimization aspects?
- How can we store this statistical data?
- How can we query this statistical data?
- What is the relationship beween an ontology and the statistical data extracted from a data set?
- Does this have to do with with the bayesian classification
