[P2P-F] Semantic graphs of French Intellectual Property Rights

[Dante-Gabryell Monson]

http://gephi.org/2008/semantic-graphs-french-ipr/



Semantic graphs of French IPR<http://gephi.org/2008/semantic-graphs-french-ipr/>
26 October 2008
[image: Main semantic graph of French intellectual property
rights]<http://web-mining.fr/files/droit_auteur/carto_droit_auteur_generale.pdf>
[image: Semantic graph of French contract
rights]<http://web-mining.fr/files/droit_auteur/carto_droit_des_contrats.pdf>


These work-in-progress maps are a study produced the last spring for the
economist Yann Moulier-Boutang, law professor at the engineer school
UTC<http://www.utc.fr/>.
They represent the linked terms of vocabulary used on the Web to talk about
the *intellectual property rights* in French language. Datasets come
from Exalead
SA <http://exalead.com/> (web/intranet search engine).

Each node is a term and each edge exists when two terms or expressions are
co-cited on a sufficient number of web pages, over more than 120,000 pages.
*1283 expressions and 4984 co-citing links* have been selected, assuming a
representative approach against an exhaustive one. *Semantic clusters* are
represented with node colors in the general map. The contract rights map
shows the *“imprint”* of this cluster (red nodes) inside the overall graph
(in grey). The last image is a test to display the imprint of two
meta-clusters : the vocabulary of intellectual property rights (in red)
versus the one of industrial property rights (in blue).


*How we did this ?* After an information extraction phase from the Exalead
databases and a manual filtering, we made a
GDF<http://guess.wikispot.org/The_GUESS_.gdf_format>file
of row data (download
it<http://gephi.org/wp-content/uploads/2008/10/ipr-semantic-graphe.gdf>
and
feel free to make your own viz !), spatialized the graph in Gephi with
a *force-vector
algorithm <http://iv.slis.indiana.edu/lm/lm-networks.html>* (in a nutshell,
two nodes tied by an edge are graphically attracted to each other, otherwise
they are rejected), applied some *filters* to colorize the nodes regarding
to which semantic cluster they belong to, and then *export* the maps
inSVG<http://en.wikipedia.org/wiki/SVG> format.
The second part of the work consisted in softly improving the rendering and
adding contextual informations like names of clusters, main terms clouds,
legend…in Inkscape <http://www.inkscape.org/>, to finally build the PDF
files.

*Download the general map in PDF
(50Mo)*<http://web-mining.fr/files/droit_auteur/carto_droit_auteur_generale.pdf>
–
Creative Commons by-nc-sa

*Download the map of the contract rights in PDF
(50Mo)*<http://web-mining.fr/files/droit_auteur/carto_droit_des_contrats.pdf>
–
Creative Commons by-nc-sa

*Download the GDF file (graph not
spatialized)<http://gephi.org/wp-content/uploads/2008/10/ipr-semantic-graphe.gdf>
* (a shift in nodes positioning is normal)

<http://gephi.org/wp-content/uploads/HLIC/799247b93c03cee9b8be3dcd78a8f7bf.png>

Main semantic graph

<http://gephi.org/wp-content/uploads/HLIC/49a5e4b1a1e3e095df8e631f93a22ef8.png>

Zoom on the Free Software cluster

<http://gephi.org/wp-content/uploads/HLIC/eda7e769d20e4f909355cd485229dd88.png>

Contract rights map

<http://gephi.org/wp-content/uploads/HLIC/d80ebcce8fbc601b374af71e2a39788e.png>

Zoom on the core of contract rights

Intellectual (red) vs industrial (blue) rights
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