Mapping the Multitude. Categories in Representations.
Ruth Edith Hagengruber · 2005
One of the main problems with artificial intelligence is the fact that the information which artificial intelligence is typically required to handle is heterogeneously structured. Ontologies are designed to mitigate this effect. From a philosophical perspective, we refer to an ontology when we have a systematic representation of principles whose various relations can adequately describe a subset of the world. The interrelation of these principles constitutes a real world scenario. Humans use special strategies to reduce the amount of data at their disposal. They apply selection and reorganization techniques to adapt their knowledge to new scenarios. Categories are relations that occur due to necessary orders. Thus, each domain has its necessary set of relations and a necessary ordering of entities which define the domain-specific relational structure. This kind of representation has far-reaching consequences in practical applications.