Towards ontology design patterns to model multiple classification criteria of domain concepts in the Semantic Web

摘要: This thesis explores a very recurrent modeling scenario in ontology design that deals with the notion of real world concepts can be classified according to multiple criteria. Current guidelines do not explicitly consider this aspect representation such concepts. Such void leaves ample room for ad-hoc practices lead unexpected or undesired results artifacts. The aim is identify best and patterns represent OWL DL ontologies suitable deployment Web Data Semantic Web. To assist these issues, an initial set basic put forward, mitigates opportunity decisions development problem described. These relies upon existing simplified methodology facet analysis from field Library Information Science. outcome produces Faceted Classification Scheme (FCS) concept question where most cases would correspond classification criterion. Value Partition, Class As Property Normalisation Ontology Design Patterns (ODPs) are revisited produce FCS. A comparative between FCS ODP particular, revealed existence key similarities elements generic structure both knowledge paradigms. allow establish series mappings transform into contains valid criteria involved characterization domain concept. An example \Dishwasher Detergent" examples \Pizza", \Wine" \Fault" (in context computer system) used illustrate research