DocumentCode :
2616899
Title :
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
Link To Document :
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