benefits
of a goal-oriented approach to database requirements
analysis, by providing a rational reconstruction of several
versions of the conceptual schema for a commercial biological
database, and showing how they connected to alternative
expansions of one stakeholder’s goals. Such an
approach would capture not only what data means, but also
who wants them in the first place, and for what purposes;
it therefore provides additional data semantics needed for
data integration, machine interpretable web data, and scientific
data management.
In this paper, we present a goal-oriented process for
database requirements analysis. This process starts from
multiple stakeholders, captures their goals and plans, analyzes
them for alternative data requirements, and ends with
a detailed conceptual schema of the data to be stored. The
contributions of this paper include:
benefits
of a goal-oriented approach to database requirements
analysis, by providing a rational reconstruction of several
versions of the conceptual schema for a commercial biological
database, and showing how they connected to alternative
expansions of one stakeholder’s goals. Such an
approach would capture not only what data means, but also
who wants them in the first place, and for what purposes;
it therefore provides additional data semantics needed for
data integration, machine interpretable web data, and scientific
data management.
In this paper, we present a goal-oriented process for
database requirements analysis. This process starts from
multiple stakeholders, captures their goals and plans, analyzes
them for alternative data requirements, and ends with
a detailed conceptual schema of the data to be stored. The
contributions of this paper include:
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