Neena D.

Jeff L. Aha..... the best answer of all! 'It depends......'. Totally agree with your point, however, that is when standards come to play a big role. Howsoever the practice is fluid, an organization still needs to move forward in a predictable and consistent manner and standards would help in doing so. I thought today's session highlighted 'how' part of this topic - although not too detailed. (or I might have read a little too much into it?)

There was a session (ended just now) on: Taxonomy driven Ontology design. Wouldn't some of your questions above get answered? Though not detailed discussion on standards but some pointers were mentioned.

Phil T. Ditto! Couldn't agree with you more. My initial comment was to focus on the approach - many try to get into a new concept area thinking it is completely new territory! Instead, it we just adjust the viewing lens (based on already known domain), it becomes much easier. Who knows I could be wrong??

Katariina K. there are all kinds of IDs captured in the traditional modeling domain. ID - global and internal - for referencing data is a must in modeling world, hence (sometimes) it may become cryptic. Hopefully semantic modeling could alleviate some of those aspects. Thanks for comments!

now want to experiment with KG and bridge the gap

Thomas D. Yes - agreed, certainly multidimensional, It could be more integrated representation when we fold in temporal constraints along with both KG and PG. Even more powerful when conditional logic is mapped in the model since it is outside of ERD or Kimball's dimensional technique currently. Background: trained engineer, practicing data architect - have been in data management field almost three decades. Have seen, done all aspects of data - strategy, governance, metadata, modeling (SQL/noSQL), integration etc.