Hi Rafa/Reto,
Thanks very much for your replies - so I will look into:
- Merging both graphs.
- Uploading to a Stanbol Entity site.
- Using entityhub/site/find/ in the documentation to return the
subjects that match an ex:role with that SKOS label.
I'm not clear from the replies how I would use SPARQL, if you have any
further guidance then please let me know if this is a better option.
Again thanks,
Mark
Quoting Rafa Haro <[email protected]>:
Hi Mark, Reto,
En 12 de noviembre de 2014 en 11:45:43, Reto Gmür ([email protected]) escrito:
On Wed, Nov 12, 2014 at 10:16 AM, Rafa Haro <[email protected]> wrote:
Hi Mark,
You can solve your problem in Stanbol if you link or merge together both
graphs in a single one and you create a site with it. After indexing the
merged graph, you can use the EntityHub API and specifically the find
(/entityhub/site/find) service to search for your label and then move to
all the nodes associated to that skos label using an LDPath expression.
Please take a look to the EntityHub REST API documentation.
Just for completeness: After meging the two graphs (or even without) you
can also use SPARQL.
Yep, that’s true :-). I probably forgot to mention that if you are
planning to enrich documents using both graphs, the LDPath approach
is also available.
Cheers,
Rafa
Cheers,
Reto
Hope that helps. Cheers,
Rafa
En 11 de noviembre de 2014 en 20:34:01, [email protected] (
[email protected]) escrito:
Hi, here is an example of what I'm trying to achieve. Does Fusepool,
or another solution, achieve this goal?
I have an RDF graph in a graph store:
==============================
<foaf:Person rdf:ID="johnsmith">
<foaf:firstName>John</foaf:firstName>
<foaf:lastName>Smith</foaf:lastName>
<ex:role>Managing Director</ex:role>
</foaf:Person>
==============================
I have the following SKOS vocabulary:
==============================
ex:role rdf:type skos:Concept;
skos:prefLabel "Managing Director"@en;
skos:altLabel "MD"@en;
skos:altLabel "President"@en;
skos:altLabel "CEO"@en.
==============================
If I search for anyone with the role 'President', I want to return
John Smith (rdf:ID="johnsmith") - because 'President' is an
alternative label for 'Managing Director'.
Is this possible using an already established best practice, or framework?
Please let me know if any further examples are required.
Best wishes
Mark
Quoting Reto Gmür <[email protected]>:
> Hi Linked Data Tools
>
> One difficulty might arise because ContentHub has the index and the
facets
> in lucene only and other metadata in an RDF graph. So for example if
> contenthub provides a facet "Paris" you only have the label without any
> association to the URI, so it won't be possible to get additional
> properties of the resource. This is way in the fusepool project we've
> chosen to build a store that stores all the data in an RDF graph and
builds
> a lucene index on top of it. The code is here
> https://github.com/fusepool/fusepool-ecs, its apache licensed and btw.
> fusepool would be happy to donate it to the stanbol project.
>
> Cheers,
> Reto
>
> On Mon, Nov 10, 2014 at 7:54 PM, <[email protected]> wrote:
>
>> 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
>>
>
