Re: RDB2RDF Usecase

Hello,

One observation I have is we need to be clearer on Rdb2Rdf for solving the silo pain.  Rdb2Rdf is a must but not sufficient technology to integrate silos.  As you need ot reconcile the results from each data source together before the data is useful enough to apply SPARQL as an example; which is outside the Rdb2Rdf framework.

Regarding user scenario, I see a lot of value in the Enterprise Information Management (EIM) area where you integrate data warehouse with content in the enterprise (i.e., not using current technology of NLP + converting to XML then shredding elements in the data warehouse database columns) to be able to return more actionable information.   For example, a query to a datawarehouse today can be" "tell me all companies that bought $1M equipments last month" <-- easy one.  Now with integration of structured and unstructured data in the enterprise you can ask " tell me all companies that bought $1M equipments and had complaints?"  The point here is customer complaints typically is in email content and the list of companies who bough is in the data warehouse.  By being able to integrate the results of search and SQL at high-level as RDF sub-graphs, etc, you can answer the 2nd question transparently w/o manual work.

In summary, I suggest to position Rdb2Rdf as a core technology that would help in solving higher level problems like some of the examples in this email thread.
Regards,

Ahmed


Ahmed K. Ezzat, Ph.D.
HP Fellow, Business Intelligence Software Division
Hewlett-Packard Corporation
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