All your True/False propositions are clear false. As Jim Melton said,
they have all been done for decades with relational databases, for one
thing. You could think of telemetry data as an example, where streams
of data are interleaved, and extended over time, linked in this case
primarily by time codes.
Furthermore, RDF in principle can be considered as a kind of highly
normalized relational database, with one two-column table for each kind
of relation (i.e., property type). So even if your claims about the
need for RDF were sound (which they are not), you could still rightly
consider a relational model.
The key to modeling this kind of data is finding out what entities in
the different chunks correspond to each other. Once you have that
figured out, you can model the thing in any number of ways.
TomP
On 6/10/2016 12:35 PM, Costello, Roger L. wrote:
> Hi Folks,
>
> So, you have lots of chunks of data and the chunks are highly
> interrelated. Over time more chunks are added and those new chunks
> are easily connected in with the other chunks, i.e., the system
> expands over time.
>
> Example of highly interrelated chunks of data: You have data about an
> aircraft in flight: its current location, speed, heading, etc. You
> have data about the aircraft itself: fuel capacity, max speed, max
> altitude, cruising speed, date built, model number, etc. You have
> data from FAA radars tracking the aircraft. You have data about the
> destination and originating points of the aircraft. You have data
> about the passengers on the aircraft. And you have many other chunks
> of relevant data. And, the relationships between all these chunks of
> data must be captured.
>
> [True or False] The only reasonable way to express an expandable
> system with lots of chunks of highly interrelated data is with RDF,
> RDF Schema, and/or OWL. It is not practical to express an expandable
> system with lots of chunks of highly interrelated data using vanilla
> XML.
>
> [True or False] When dealing with an expandable system with lots of
> chunks of highly interrelated data it's not practical to use XML
> Schema to validate the data.
>
> [True or False] When dealing with an expandable system with lots of
> chunks of highly interrelated data you must adopt the Semantic Web
> technologies such as inference engines, triple stores, SPARQL,
> knowledge bases. And your trading partners will naturally join you in
> your adoption of the Semantic Web technologies.
>
> [True or False] Nobody has ever implemented an expandable system with
> lots of chunks of highly interrelated data using vanilla XML and
> using XML Schema for validation. Or, if they did, it was a complete
> failure.
>
> /Roger
>
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