The table /Nodes2 /stores *all *nodes, both literals and URI's. The
/lex /column contains the human readable form for the node. The /Nodes2
/table *does not* provide any indication as to the position of the node
within any particular statement. In fact nodes are never duplicated
within the /Nodes2 /table. The same node is always represented by the
same row in the database regardless of the nodes position within any
given triple, or even graph for that matter.
The /Nodes2 /table is indexed on the /hash /column. This hash value is
used as a foreign key in the /Quads2/ table. It is in this table where
the subject, predicate, and object of a triple are defined. These
respective columns contain the hash values for the nodes in the triple.
It should be pointed out that although there is nothing proprietary
about this scheme, any use of it for interfacing or ETL purposes is
discouraged and not supported.
Holger
On 12/07/2019 18:54, Sanjeev Devireddy wrote:
Hi Holger,
Thanks for confirming that the Nodes table contains all Nodes
(literal / URI) in the data set. So, my understanding is that User-IDs
(in the form of literals/URIs/encoded in the URIs of teamwork:Change
subjects) are also stored in the Nodes table. If yes then this answers
my initial/actual question on Table/Column capturing the User-IDs in
the TopBraid EDG relational database.
In our TopBraid EDG relational database, Nodes2 table has 5
columns and they are hash, lex, lang, datatype & type. Out of these 5
columns, I see that only the column named LEX contains the
literals/URIs of Taxonomies/Ontologies. So, can we say that in
TopBraid EDG relational database the User-IDs (in the form of
literals/URIs/encoded in the URIs of teamwork:Change subjects) are
stored only in the Table Nodes2 under the column LEX?
Thanks,
Sanjeev
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