Next Gen BI based on Semantic Technology
Here are my thoughts on how BI tools and technology can leverage semantic technology.
- BI based on the relational model of data is
no longer viable with the data complexity exceeding the limits afforded by
RDBMS technology. Other then scale, there is also the issue that RDBMS queries are
heavily coupled to the physical data organization while semantic querying in SPARQL permits complete abstraction of the physical organization of data.
This is extremely useful when executing BI queries over distributed data
- Another important issue to consider is the
opportunity to use inference capabilities provided by semantic repositories in
BI analytics to draw conclusions from what is already stated in the database.
- The other is the ability to use semantic
analysis and information extraction to populate knowledge bases based on semantic
technology that can combined structured and unstructured data in a uniform schema
less manner providing the benefit of schema flexibility and information
linking. This is very useful for information integration.
- Scalable Consistency checking within BI is now possible by the use of semantic technology. Rule based consistency checking has been around for quite some time. However semantic technology provides a standards based stack of knowledge languages, data models, and inference engines to facilitate better adoption.