Generating requirements of domain ontology evolution based on text

Generating requirements of domain ontology evolution based on text

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...

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Bibliographic Details
Published in:The 2nd International Conference on Information Science and Engineering pp. 1225 - 1228
Main Authors: Liubo Ouyang, Beiji Zou, Xiaofei Lan
Format: Conference Proceeding
Language:English
Published: IEEE 01-12-2010
Subjects:
Animals
Artificial neural networks
domain ontology
domain text
Frequency domain analysis
generating requirements
key concept
Natural languages
Ontologies
ontology evolution
Semantics
weighted word frequency
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Summary: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.
ISBN:142447616X
9781424476169
ISSN:2160-1283
DOI:10.1109/ICISE.2010.5690159