Hi, I have read the documentation as you directed, and have one
further question just to clarify. I am asking this as I am less
experienced with this sort of problem.
I believe the example FOAF graph I have given as a way of storing the
data is probably inefficient, as the way I am storing the role someone
has in the FOAF graph means I have to 'look up' the entity every time
someone does a search to match both the literal string in the FOAF
graph, and the literal string that someone tries to search for.
Would it be better to do something more similar to this example, where
I define a URI for 'Managing Director' myself:
Example graph, showing person with role:
<foaf:Person rdf:ID="johnsmith">
<foaf:firstName>John</foaf:firstName>
<foaf:lastName>Smith</foaf:lastName>
<ex:role
rdf:resource="http://www.linkeddatatools.com/role/managingdirector"/>
</foaf:Person>
And then in my SKOS vocabulary I would define:
ex:managingdirector rdf:type skos:Concept;
skos:prefLabel "Managing Director"@en;
skos:altLabel "MD"@en;
skos:altLabel "President"@en;
skos:altLabel "CEO"@en.
I would then, rather than merge both graphs, upload the SKOS
vocabulary to my EntityHub site. When a user made a search, I would
carry out entity extraction on the search string (e.g. user searches
for 'President') which would then return the
http://www.linkeddatatools.com/role/managingdirector entity match.
I would then use SPARQL to query the FOAF graph for those with
http://www.linkeddatatools.com/role/managingdirector as ex:role.
Is this not more efficient? Further, would I need to use EntityHub for
this, or would it be better simply to query my SKOS vocabulary myself
using SPARQL?
Thanks for your patience and input on this, as I say I am relatively
new to this sort of problem and really do value any advice.
Best wishes
Mark
Quoting cont...@linkeddatatools.com:
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 <rh...@apache.org>:
Hi Mark, Reto,
En 12 de noviembre de 2014 en 11:45:43, Reto Gmür (r...@apache.org) escrito:
On Wed, Nov 12, 2014 at 10:16 AM, Rafa Haro <rh...@apache.org> 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, cont...@linkeddatatools.com (
cont...@linkeddatatools.com) 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 <r...@apache.org>:
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, <cont...@linkeddatatools.com> 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
