Environmental Engineering Reference
In-Depth Information
Fig. 9.3
Overview of SEAMLESS-IF models. The arrows indicate the dependencies among
models in the chain. The components in lighter colour are not presently integrated in
SEAMLESS-IF
Knowledge Management Technologies in SEAMLESS
Knowledge management technologies are employed, such as semantic modelling
and ontologies for specifying data, models, projects and their relationships.
All the commonly shared data types in SEAMLESS were declared in ontology
(starting from projects, up to the model exchange items). This is a very important
shift in everyday practice that SEAMLESS has achieved: modellers specify
the data requirements of their models in a higher level, i.e. that of an ontology.
This ontology is then automatically transformed into a relational database
model, to which “data collecting” activities need to comply with. Data may
originate from third-party, pre-existing databases or may have been directly
collected (i.e. through surveys). Either of the two is the case, data collection
activities need to facilitate the filling-up of the generated database, which is fit to
the model data requirements.
