Savio,

We at knogee.com use the DBpedia data set locally.
We use Ruby for everything, so we use the redland libraries
which are C libraries, but have multiple language interfaces:
http://librdf.org/

If you'd like an example of the code we use to read the .nt files
and transform them into a database for the redland SPARQL queries,
let me know...

Cheers,

Luis.

Quoting Richard Cyganiak <[EMAIL PROTECTED]>:

> Savio,
>
> On 13 Feb 2008, at 16:57, Savio Neville Spiteri wrote:
>> I am doing my thesis to get my B.Sc. I.T. (Hons) degree. As part of
>> my Final Year Project (which is the thesis itself) I am
>> investigating how use of ontologies could be made to help users
>> bookmark webpages. I would like to use dbpedia as a kind of a
>> 'universal ontology' in such a way that the bookmark file structure
>> would be like the 'natural order of things'.
>
> Interesting project. Just a word of caution: Note that DBpedia isn't
> an ontology. From an ontology point of view, DBpedia is just a bunch
> of instances, without a nice well-engineered class hierarchy. Two
> different experimental class hierarchies are available for DBpedia
> (YAGO and CWCC), but both have their flaws, are very complex, and I
> wouldn't say that they represent the "natural order of things" --
> maybe rather the "natural disorder of things" ;-)
>
>> I have a query with regards to how I actually should interact with
>> the system. Since the system would be using dbpedia over and over
>> again (for example bookmarking a single page would most probably
>> result in a (large) number of queries), it definitely wouldn't make
>> sense to send a sparql query to the sparql endpoint each time, else
>> bookmarking a single page would take very long indeed! I need to
>> have a local version of the entire data set. Is this possible?
>
> Sure. It's quite a bit of work though.
>
>> (Which version of the dataset should i download from  
>> http://wiki.dbpedia.org/Datasets?)
>> .
>
> The current dataset dumps are at http://wiki.dbpedia.org/Downloads .
> Which dumps to choose depends of course on the data that should be
> available to answer the queries. If you don't need links to images or
> chinese titles, then you can skip the Images and Titles/zh dumps ...
>
>> And what would be the most efficient way to interact with the local
>> source?
>
> You will need to install a triple store that supports SPARQL, then
> load the dumps into the store, and then you can write your application
> so that it queries your local store instead of the online DBpedia
> endpoint. I can't give a recommendation for a specific triple store,
> but the online DBpedia endpoint runs on OpenLink Virtuoso.
>
> Hope that helps,
> Richard
>
>
>
>> I appreciate your help a lot, since i am a novice in this area, and
>> i am still feeling a little bit like a stranger to all this! Thanks
>> a lot,
>>
>> Thanks for your co-operation,
>>
>> --
>> Savio Neville Spiteri
>>
>> Spiteri House, Triq Papa Ġwanni Pawlu II,
>> Victoria Għawdex VCT9047, Malta.
>>
>> t: (+356) 2155 2628 / 2720 0063
>> m: (+356) 7927 0060
>> e: [EMAIL PROTECTED]
>>
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