DocumentCode :
230803
Title :
Customizable rule-based verification of requirements ontology
Author :
Dang Viet Dzung ; Ohnishi, Atsushi
Author_Institution :
Grad. Sch. of Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
fYear :
2014
fDate :
26-26 Aug. 2014
Firstpage :
19
Lastpage :
26
Abstract :
In using ontology to support requirements engineering, quality of elicited requirements depends on quality of requirements ontology, so a rule-based verification method of the correctness of requirements ontology has been proposed. However, in recent evaluation experiments, users of the method (ontology verifiers) described only a few new rules based on rule grammars and rule examples. That led to the number of correctly detected errors were not so high (less than 50% of the total number of errors). To improve our method, in this paper, we propose a rules customization mechanism in which simple specific rules are generated using pre-defined and customizable meta-rules. We expect that by using the improvement, ontology verifiers can easily and effectively generate and customize rules for verification of requirements ontology. The customization mechanism is illustrated through examples and a case study.
Keywords :
formal verification; knowledge based systems; ontologies (artificial intelligence); meta-rules; requirements engineering; requirements ontology; rule example; rule grammar; rule-based verification; rules customization mechanism; Educational institutions; Libraries; Ontologies; Redundancy; Registers; Search problems; Software; ontology-based requirements elicitation; verification of requirements ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence for Requirements Engineering (AIRE), 2014 IEEE 1st International Workshop on
Conference_Location :
Karlskrona
Type :
conf
DOI :
10.1109/AIRE.2014.6894852
Filename :
6894852
Link To Document :
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