![](bg6.png)
forgetting some of the impacts of a change. For
instance, in Protégé, it is up to the user to check all
the ObjectProperties in which a modified concept is
involved as domain or range, on to anticipate by
moving sub-classes before deleting their super class.
Moreover, in Protégé, taking into account
annotations is completely set apart. In TextViz, it is
very easy to perform a new annotation after each
evolution, or to carry out local modifications by
propagating changes.
7 CONCLUSIONS
We have proposed EvOnto, a method and tool for
ontology evolution that takes into account its use for
semantic annotation. EvOnto implements several
principals for a consistent evolution of ontologies
and semantic annotations. Our study brings several
innovations compared with previous works. First,
we are interested in ontologies with a lexical
component (TORs), defining according to a meta-
model where terms are represented as classes.
Second, EvOnto assists the evolution process by
providing the knowledge engineer with information
on the consequences of a change before it is
implemented. These consequences take into account
the structures linked to the one modified in the TOR
as well as the semantic annotations using this
structure. This information supports decision making
and avoid costly trial and attempts.
We go on improving EvOnto by adding new
change operations and their corresponding strategies
to manage the consequences in the TOR and on
annotations. Most of our effort now is dedicated to
the evaluation of EvOnto. This evaluation raises
issues related to the time required to build an
ontology, to the difficulty to judge the quality of an
ontology and even more of semantic annotations.
Thanks to the three case studies of the DYNAMO
project, we have data, ontologies and domain experts
to carry out several evaluation experiments.
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EVONTO - Joint Evolution of Ontologies and Semantic Annotations
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