Re: Visualizing LOD Linkage

Hello!

>
> I would like to suggest that publishers of new linked data spaces that plug
> into the growing LOD include the following:
>
> 1. cross-link information

I would also suggest we find a better measure for interlinkage than a
raw number of triples linking one dataset to another.
For example, http://dbtune.org/musicbrainz/ creates its own identifier
for languages (http://dbtune.org/musicbrainz/directory/language),
which are owl:sameAs'ed to the corresponding languages in Lingvoj when
applicable, whereas linkedmdb directly links to the Lingvoj
identifiers. In the latter case, the raw number of interlinks will be
higher, but could be reduced a lot by creating identifiers for
language and use sameAs.

The same applies for geographic locations, for example. Some datasets
use foaf:based_near to link to Geonames, some others create their own
identifiers, and then link to the corresponding Geonames locations
through owl:sameAs. For the same dataset, this two methodologies will
lead to completely different numbers.

To boost the statistics of a dataset, we could simply link each person
or group in them to http://dbpedia.org/class/yago/Entity100001740
through rdf:type :-D

So I think we should agree on what we count as "interlinks" before
publishing such statistics, so that we can actually use these values?

My recommendation would be to always go for the lowest value - the one
you'd obtain by creating your own identifiers and using owl:sameAs
(which would be equivalent to the number of distinct external URIs
mentioned in your dataset).

What do you think?

Cheers!
y


> 2. cross-link visual derived from the LOD cloud diagram.
>
> The Linked Movies Database has nice examples of both [1].
>
> Links:
>
> 1. http://www.linkedmdb.org:8080/Main/Interlinking
>
> --
>
>
> Regards,
>
> Kingsley Idehen       Weblog: http://www.openlinksw.com/blog/~kidehen
> President & CEO OpenLink Software     Web: http://www.openlinksw.com
>
>
>
>
>
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Received on Saturday, 2 August 2008 14:48:06 UTC