QUOTE
In Information Science, an ontology is the product of an attempt to formulate an exhaustive and rigorous conceptual schema about a domain. This domain does not have to be the complete knowledge of that topic, but purely a domain of interest decided upon by the creator of the ontology.
An ontology is typically a hierarchical data structure containing all the relevant entities and their relationships and rules within that domain (e.g., a domain ontology). However, computational ontology does not have to be hierarchical at all. The computer science usage of the term ontology is derived from the much older usage of the term ontology in philosophy.
An ontology which is not tied to a particular problem domain but attempts to describe general entities is known as a foundation ontology or upper ontology. Typically, more specialized domain specific schemata must be created to make the data useful for real world decisions.
An ontology is typically a hierarchical data structure containing all the relevant entities and their relationships and rules within that domain (e.g., a domain ontology). However, computational ontology does not have to be hierarchical at all. The computer science usage of the term ontology is derived from the much older usage of the term ontology in philosophy.
An ontology which is not tied to a particular problem domain but attempts to describe general entities is known as a foundation ontology or upper ontology. Typically, more specialized domain specific schemata must be created to make the data useful for real world decisions.
Ontologies are used in Artificial Intelligence systems and Expert Systems. Expert systems are programs that analyze information about specific problems and are made up of a set of rules. Expert systems are for instance used by helpdesk problem classifications and determination.
A free ontology editor and knowledge acquisition system is Protege Protege a free ontology system

