Re: ANN: Wikipedia as topic map

Hi Lars,

that's a cool service. It will surely be integrated into other
services as well. ;)

I have some optimization ideas which could make your service perform
even better:

I tried requesting the Leonard Cohen example below and found that the
resulting file was transferred without Content-Encoding even though my
client accepted it (i.e. had the Accept-Encoding header set). If it
was, it would shrink the transferred size to about only 10% (in this
example the transferred size was 432300 bytes, with gzip compression
it would be only 41613 bytes).

The file is also indented very cleanly which makes it easy to read for
humans, but it also costs about 56163 bytes (uncompressed and
unindented file: 376137) or 1134 bytes (compressed and unindented
file: 40479) of your bandwidth. If the file was transferred gzipped,
the indention doesn't really matter. But uncompressed, the amount
wasted just by indention is more than the gzipped payload.

Third, I wondered why many subjectIdentifierRef elements are repeated,
e.g. http://dbpedia.org/resource/Person occurs four times, artist
occurs three times in the instanceOf list of Leonard Cohen. They get
merged in the end, but why are there many of them in the first place?

Enough ideas for improvement for now. Thanks for this very good
addition to the Topic Maps toolbox.

Benjamin

On Fri, Jun 25, 2010 at 11:59 AM, Lars Heuer <[email protected]> wrote:
> Hi all,
>
> I added another, experimental service to Mappify: DBpedia / Wikipedia
> entries to Topic Maps:
>
>    <http://ws.mappify.org/wp/url/>
>
> The service takes a DBpedia / Wikipedia URL and returns a topic map
> about the specified entry.
>
> Examples:
>
> Entry about John Lennon as CTM topic map:
> <http://ws.mappify.org/wp/url/http%3A%2F%2Fdbpedia.org%2Fresource%2FJohn_Lennon?out=ctm>
>
> Entry about Leonard Cohen as topic map using the Japanese Wikipedia URL:
> <http://ws.mappify.org/wp/url/http%3A%2F%2Fja.wikipedia.org%2Fwiki%2F%E3%83%AC%E3%83%8A%E3%83%BC%E3%83%89%E3%83%BB%E3%82%B3%E3%83%BC%E3%82%A8%E3%83%B3>
>
> Entry about Tom Waits with a JSON callback
> <http://ws.mappify.org/wp/url/http%3A%2F%2Fde.wikipedia.org%2Fwiki%2FTom_Waits?out=json&callback=mappified>
>
> User may want to use Subj3ct [1] to find out the DBpedia URL for a
> subject and then go with the DBpedia URL to Mappify.
>
> The service works as the RDF2TM service but with a predefined CRTM [2] mapping.
>
> The service is far from being finished, but you may find it already
> useful or not.
>
> Feedback. further ideas etc. welcome bla bla :)
>
> [1] <https://subj3ct.com/>
> [2] <http://www.semagia.com/tr/crtm/>
>
> Best regards,
> Lars
> --
> Semagia
> <http://www.semagia.com>
>
> <http://www.topicmaps.de/mailinglist/> German Topic Maps mailing list
> <http://tinytim.sourceforge.net/> Open Source Topic Maps engine
> <http://mappa.semagia.com/> Mappa - Python Topic Maps engine
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