Geoscience Reference
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2. We don't ask the provider to build his own XML file dictionary as for
the SE standard. However, the administrator had been charged to do
this manually by referring to his map legend only.
3. For scalability reasons, it is more efficient to go for a semi to auto-
matic framework matcher. The administrator will then ask each pro-
vider to give him its OWL file of legend symbols easily built from a
visualization interface such as Protégé.
4. Our Framework have the import/export tool for OWL files and can
easily match the semantics at the concepts level then the visual aspects
at instances or properties levels between two ontologies.
5. Our framework will align any new ontology with the resulted global
one automatically.
The final OWL file named CartOWL will include all the referenced sym-
bols as XML based (same idea as Symbology Encoding XML file). How-
ever, this file will be adjusted as well based on users' profile ontology
(age, nationality country, culture) for the choice of adequate icons/base
map and the graphical semiology rules applied in the color ontology de-
veloped by (Domingues et al. 2009) for the choice of colors.
For the time being, building/matching these ontologies with visual aspects
is done manually by a domain expert. However, we can develop automatic
reasoner and extend Protégé or G-Match in order to include the visual at-
tributes and do the matching semantically based on concepts-names match-
ing algorithms (word by word, keyword, external thesaurus as WordNet 3 ,
string distance matching, semantic Google distance etc) then collect the
icons such as ImageNet 4 labeled by the same concept name and set a cer-
tain variable weight for each icon to prioritize our selection. This weight is
corresponding to the result of a psycho-cognitive test distributed to users
for best icon-recognition without legends.
The complete solution as proposed above should be validated by our
MPLoM platform. Its main purpose is to test the feasibility of the location
and map symbols' integrations into a unique visual portal on mobile
devices and desktop.
3 http://wordnet.princeton.edu/
4 http://www.image-net.org/
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