|
From ER to Ontology with Natural Language Text Generation |
|
Csaba Veres, Jennifer Sampson, Clare Atkins
|
|
maandag, 05 juni 2006 |
We describe the automation of a novel technique (NaLER) which was originally designed to facilitate legacy database model validation. The NaLER technique uses natural language sentences built from
live database content to elicit validation judgments from domain experts.
However, during implementation we discovered that the method we had
adopted for the automation had a serendipitous side effect in that the
legacy model first had to be mapped to an upper ontology. This normally
difficult process was significantly eased by the sentence templates which
are defined as part of the NaLER technique. It is this novel process of
mapping, and the choice of ontology it entails, which forms the focus
of the paper. We therefore describe here the process of mapping to the
upper model, and investigate how the motivation for modeling impacted
on the choice of modeling language. Finally we describe the prototype of
a tool and how it fits with the development methodology.
[PDF]
[Slides in PDF]
[BibteX]
Alleen geregistreerde gebruikers kunnen reacties geven.
Log in of registreer. |
