DocumentCode :
2121322
Title :
Generating requirements of domain ontology evolution based on text
Author :
Ouyang, Liubo ; Zou, Beiji ; Lan, Xiaofei
Author_Institution :
School of Information Science & Engineering, Central South University, Changsha, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
1225
Lastpage :
1228
Abstract :
Ontology evolution has become more and more important to domain ontology application. The requirements are the basis of ontology evolution. This paper gives a model for auto-generated requirements of domain ontology evolution from domain text. First it extracts relevant concepts from domain text in natural language, and then uses the weighted word frequency algorithm to determine whether the concepts are the key concepts. Last, combining the ontology-search-algorithm with the rules of generating evolution requirements, it automatically generates the requirements of domain ontology evolution.
Keywords :
Animals; Artificial neural networks; Frequency domain analysis; Natural languages; Ontologies; Semantics; domain ontology; domain text; generating requirements; key concept; ontology evolution; weighted word frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5690159
Filename :
5690159
Link To Document :
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