Abstract
Sharing data between organizations is challenging because it is difficult to ensure that those consuming the data accurately
interpret it. The promise of the next generation WWW, the semantic Web, is that semantics about shared data will be
represented in ontologies and available for automatic and accurate machine processing of data. Thus, there is interorganizational
business value in developing applications that have ontology-based enterprise models at their core. In an
ontology-based enterprise model, business rules and definitions are represented as formal axioms, which are applied to
enterprise facts to automatically infer facts not explicitly represented. If the proposition to be inferred is a requirement from,
say, ISO 9000 or Sarbanes-Oxley, inference constitutes a model-based proof of compliance. In this paper, we detail the
development and application of the TOVE ISO 9000 Micro-Theory, a model of ISO 9000 developed using ontologies for
quality management (measurement, traceability, and quality management system ontologies). In so doing, we demonstrate
that when enterprise models are developed using ontologies, they can be leveraged to support business analytics problems
- in particular, compliance evaluation - and are sharable.
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