Date: Fri, 29 Mar 2024 07:09:22 +0100 (CET)
Message-ID: <1979400735.1521.1711692562678@nm-docs>
Subject: Exported From Confluence
MIME-Version: 1.0
Content-Type: multipart/related;
boundary="----=_Part_1520_1989766832.1711692562678"
------=_Part_1520_1989766832.1711692562678
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable
Content-Location: file:///C:/exported.html
What's New in Cameo Concept Modeler 18.0 LTR SP12
What's New in Cameo Concept Modeler 18.0 LTR SP12
Released on: December 21, =
2017
=
Usability improvements
Improved wording on text that appears in the Concept Modelin=
g menu item for a property to specify whether a property cons=
traint is sufficient.
Making a generalization {sufficient} provides for correct support fo=
r an Aristotelian subclass definition, where the subclass is equiv=
alent to the intersection of all of its sufficient conditions.
Changing a Concept Modeling environment option unlo=
cks an experimental CCM wizard that transforms a concept m=
odel into an information model.
=
OWL import improvements
Support for import of Aristotelian definitions.
Reimporting a cascade of restrictions will no longer recreate UML el=
ements in the model or affect a diagram unless something more substantial t=
han cardinality has changed.
=
OWL export improvements
- Support for export of Aristotelian definitions.
Bug fixes
Importing more than two levels of cascaded restrictions no longer tr=
uncates the additional levels.
Importing an owl:hasValue restriction will now result in a =
warning instead of a silent failure.
When moving an element between models, comments that annotate that e=
lement are no longer left behind.
------=_Part_1520_1989766832.1711692562678
Content-Type: application/octet-stream
Content-Transfer-Encoding: base64
Content-Location: file:///C:/eff81627681f0fee75666c83dfac1bb5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------=_Part_1520_1989766832.1711692562678--