Which Ontologies to use for..

Hi All,

Apologies for the cross post; however thought this one was appropriate
for both lists.

I've developed a system which uses various web services to identify
terms in text based content, it then matches these terms up to known
URIs in order to make some linked data triples.

The problem I'm having is how to express what the information is about
correctly; simply using "tags" won't do.

So let's say I run an article of content through called "Deforestation
and Competing Water Uses"

the main subjects of the article are:

+ http://dbpedia.org/resource/Deforestation
+ http://dbpedia.org/resource/Reforestation
+ http://dbpedia.org/resource/Soil_conservation
+ http://dbpedia.org/resource/Silt (siltation)
+ http://dbpedia.org/resource/Aberdare_Range
+ http://dbpedia.org/resource/Tana_River_%28Kenya%29

which is fine, they are dc:subject / foaf:topic etc

but then the article is under the general topics of:
+ http://dbpedia.org/resource/Adaptation_to_global_warming
+ http://dbpedia.org/resource/Kenya

and it mentions:
+ http://dbpedia.org/resource/Sustainable_forest_management
+ http://dbpedia.org/resource/Afforestation
+ http://dbpedia.org/resource/Hydropower
+ http://dbpedia.org/resource/Municipal_water_supply
+ http://dbpedia.org/resource/Life_span
+ http://dbpedia.org/resource/Soil
+ http://dbpedia.org/resource/Forestry
+ http://dbpedia.org/resource/Plant
+ http://dbpedia.org/resource/Reservoir

>From the aspect of the seeker, these "mentions" are invaluable - if I
was doing a report on issues affection reservoirs in kenya, then this
data is most valuable and thus related.

so, which ontology is most suited for this case of "mentions"? it's not
a subject or a tag, and don't want to identify the data as such as that
is misleading and could be easily misrepresented within UIs if it were.

Any feedback is most gratefully received as I'm on very limited time
with the current project.

Many Regards,

Nathan / webr3

Received on Wednesday, 18 November 2009 15:46:34 UTC