Hi, I posted a similar message to the IKS mailing list, but understand
from the response that this mailing list is no longer administrated.
Stanbol is a great tool and I'm having some success with it;
particularly the entity extractor tool.
I have a requirement and, I am not sure the best way to approach this
and whether a best practice for this sort of problem has already been
established.
I have an RDF graph - one in accordance with the FOAF ontology - and I
have a controlled vocabulary in the form of a SKOS RDF graph, which
contains a set of literal string terms and their semantic equivalents
(e.g. 'President' <-> 'Managing Director' <-> 'Chief Executive' <->
'MD' <-> etc.).
I would like to search the literal strings in the FOAF graph for the
occurrence of the string literals, and their equivalents as defined by
the SKOS thesaurus.
I can suggest one approach to this problem, but I fear it may be quite
inefficient and take a long time, namely:
- Query the RDF graph using SPARQL for all string literals.
- Pass each string literal to the Stanbol Entity Extractor, having
uploaded the SKOS thesaurus to the Stanbol Entity Hub.
Now this seems quite a long winded. Further, I'm not even clear from
the documentation whether the Stanbol Entity Extractor is capable of
using SKOS vocabularies to map string literals to entities. Is Stanbol
capable of extracting entities using a SKOS vocabulary?
This seems a fairly common thing to do (semantic search of an RDF
graph using a thesaurus) - is there some better way of solving this
problem using an already established strategy?
Many thanks!
Linked Data Tools