Information and Knowledge Management using ArcGIS ModelBuilder

Bernardo Gomes, André Vasconcelos and Pedro Sousa
projected; publics vs. private. Those different type of data determine the data access features and
also of its management information systems. Taking in consideration those dimensions, we have the
following type of data: primitive data; derived data; historic data; projected data; public data; private
data.
4. Information Architecture based on enterprise ontologies
The solution proposed in this work is DEMO based, allowing the creation of an IA for the considered
ontological world. This solution might be organized and described in a sequential set of steps. Most of
them are from DEMO methodology, and the others are additions made in order to achieve our aim.
Figure 3: The proposed methodology
The purpose of each step of the methodology (Figure 3) might be described as follows:
Step I – Identify and separate Performa, Informa and Forma items.
Step II – Identify actor roles, C-acts/facts and P-acts/results.
Step III – Cluster facts and results into transactions; depicts their results.
Step IV – Identify information entities and attributes based on the result types of each transaction;
classify attributes using Inmon taxonomy.
Step V – Identify dependencies between transactions; identify relationships between entities.
Step VI – Create an E-R model to describe the IA.
4.1 Example
In order to better understand the proposed methodology it will be described an example based on the
library example case used by Dietz (2006), about the operation of a typical library, including the
possibility to be a member of it, loan books, etc. The first two steps, described in (Dietz, 2006), regard
both the performa-informa-forma analysis and the coordination-actors-production analysis. Based on
those steps, the third step of the proposed methodology depicts the transactions that describe the
scenario. The result of step III is detailed in Table 1, which also includes a part of step IV, (entities
and attributes depicted in green and red, respectively.
Table 1: Step III of the proposed methodology
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