Modeling Intelligent Ontology Evolution Using Biological Evolutionary Processes

Author

O´Brien, Philip ; Abidi, Syed Sibte Raza

Author_Institution

Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS

fYear

0

fDate

0-0 0

Firstpage

1

Lastpage

6

Abstract

Ontology design and development is rapidly becoming a study in its own right. It consists of a set of processes that work together to advance ontologies from simple, static documents to complex and dynamic networks of semantic concepts that describe a domain. This paper discusses these processes with a particular focus on ontology evolution. Ontology evolution has arisen from a demand to track and detect changes in ontologies and the environments in which they live. We review this subset of the ontology development domain and propose an alternate evolutionary model for ontology evolution. We propose an alternative model for ontology development that borrows from notions found in natural evolution. Pursuing a coarse that is well-suited for ontology evolution yields benefits by easing and simplifying the process of ontology evolution

Keywords

evolution (biological); ontologies (artificial intelligence); biological evolutionary processes; intelligent ontology evolution modeling; natural evolution; Algorithm design and analysis; Application software; Biological system modeling; Biology; Computer science; Evolution (biology); Genetic engineering; History; Knowledge based systems; Ontologies;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering of Intelligent Systems, 2006 IEEE International Conference on

Conference_Location

Islamabad

Print_ISBN

1-4244-0456-8

Type

conf

DOI

10.1109/ICEIS.2006.1703172

Filename

1703172