Tables may appear to be structured, but are they if they have one or diverse members, or exist to discover relationships.
It is important to recognise the interplay of non linear and linear information. I can collect information of any nature or detail in a non linear datastore. However as we start to learn more we create informal structures. We identify and record relationships and we see opportunities to fill gaps discover new sets. We can Actualy create linear views of non linear data often to identify missing data or ensure comprehensive data sets. The value of non linearity can remain even as we start to uncover similarities, differences and build consistency. Tiddlywiki is open to almost any structure but its strength starts with its ability to be open before adding, not imposing structure in parallelle. There is a danger to imposing structure too early durring discovery but finding structure in the unstructured is often the ultimate value that can be found in the unstructured real world. Just some thoughts Tony -- You received this message because you are subscribed to the Google Groups "TiddlyWiki" group. To unsubscribe from this group and stop receiving emails from it, send an email to tiddlywiki+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/tiddlywiki/72ee9983-821b-423c-ba9f-a50a6e7364f0%40googlegroups.com.
