Welcome to Ontology DB
was among the first to propose an ontological characterization of the fundamental nature of reality.
Ontology is sometimes confused with taxonomy, which is a classification of the data in a domain. The difference between them is in two important contexts:
1. An Ontology has a richer internal structure as it includes relations and constraints between the concepts.
2. An Ontology claims to represent a certain consensus about the knowledge in the domain. This consensus is among the intended users of the knowledge, e.g. doctors using a hospital Ontology regarding a certain disease, artists relating to historical art and so on.
One classical dictionary definition of Ontology may be: "The branch of metaphysics that deals with the nature of being". It begins with Aristotle attempt to classify things in the world.
Because Ontologies aim to represent a form of common agreement regarding the knowledge they represent, they are often created in a cooperative process involving different people, sometimes at different places. Ontologies are divided to types in accord with the degree of generality of the principles they contain.
A possible application of Ontologies is intra-organization communication and knowledge management. Providing terms, relations and constraints, an Ontology is equipped to allow an accurate and common means of communications between organization members. In a similar setting, management of "corporate memory" – the essentially important knowledge body that companies and organizations possess and rely on for reaching correct decisions – is a rapidly developing field. These Memories are likely to evolve to large collections of diverse knowledge patterns, making access and distribution of the knowledge difficult. Ontologies may be of great use in structuring
Of the many definitions have aroused for Ontology the following is recommended by [(Gruber, 1993; Borst, 1997) and http://www.cmswiki.com] An Ontology is a formal, explicit specification of a shared conceptualization. 1 Gambling Online Casino the HIDE hydrological tool is an example for such a use, and the InfoMaster system may be viewed as a restricted form of Ontology. SEMEDA is an application to molecular biology data and a good example of the considerations behind choosing an Ontology which best represents the knowledge at hand.