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
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