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Towards Active Conceptual Modelling for Sudden Events
Roddick, J.F., Ceglar, A. and de Vries, D.
There are a number of issues for information systems
which are required to collect data urgently that are
not well accommodated by current conceptual modelling
methodologies and as a result the modelling
step (and the use of databases) is often omitted. Such
issues include the fact that (a) the number of instances for each entity are relatively
low resulting in data definition taking a
disproportionate amount of effort,
(b) the storage of data and the retrieval of information
must take priority over the full definition of
a schema describing that data,
(c) they undergo regular structural change and are
thus subject to information loss as a result of
changes to the schema's information capacity,
and (d) the structure of the information is likely
to be only partially known or for which there
are multiple, perhaps contradictory, competing
hypotheses as to the underlying structure.
This paper presents the Low Instance-to-Entity Ratio
(LItER) Model, which attempts to circumvent some
of the problems encountered by these types of application
and to provide a platform and modelling
technique to handle rapidly occurring phenomena.
The two-part LItER modelling process possesses an
overarching architecture which provides hypothesis,
knowledge base and ontology support together with
a common conceptual schema. This allows data to
be stored immediately and for a more refined conceptual
schema to be developed later. LItER modelling
also aims to facilitate later translation to EER, ORM
and UML models and the use of (a form of) SQL.
Moreover, an additional benefit of the model is that
it provides a partial solution to a number of outstanding
issues in current conceptual modelling systems. |
Cite as: Roddick, J.F., Ceglar, A. and de Vries, D. (2007). Towards Active Conceptual Modelling for Sudden Events. In Proc. Tutorials, posters, panels and industrial contributions at the 26th International Conference on Conceptual Modeling - ER 2007 Auckland, New Zealand. CRPIT, 83. Grundy, J., Hartmann, S., Laender, A. H. F., Maciaszek, L. and Roddick, J. F., Eds. ACS. 203-208. |
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