DocumentCode :
680754
Title :
From Natural Language Requirements to Formal Specification Using an Ontology
Author :
Sadoun, Driss ; Dubois, Clemence ; Ghamri-Doudane, Yacine ; Grau, Brigitte
Author_Institution :
LIMSI, Orsay, France
fYear :
2013
fDate :
4-6 Nov. 2013
Firstpage :
755
Lastpage :
760
Abstract :
In order to check requirement specifications written in natural language, we have chosen to model domain knowledge through an ontology and to formally represent user requirements by its population. Our approach of ontology population focuses on instance property identification from texts. We do so using extraction rules automatically acquired from a training corpus and a bootstrapping terminology. These rules aim at identifying instance property mentions represented by triples of terms, using lexical, syntactic and semantic levels of analysis. They are generated from recurrent syntactic paths between terms denoting instances of concepts and properties. We show how focusing on instance property identification allows us to precisely identify concept instances explicitly or implicitly mentioned in texts.
Keywords :
formal specification; natural language processing; ontologies (artificial intelligence); bootstrapping terminology; domain knowledge modeling; extraction rules; formal specification; instance property identification; lexical level; natural language requirements; ontology population; recurrent syntactic paths; requirement specifications; semantic level; syntactic level; terms denoting instances; training corpus; user requirement representation; Context; Ontologies; Semantics; Sociology; Statistics; Syntactics; Terminology; Knowledge representation; Ontology population; Ontology reasoning; Requirement specification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on
Conference_Location :
Herndon, VA
ISSN :
1082-3409
Print_ISBN :
978-1-4799-2971-9
Type :
conf
DOI :
10.1109/ICTAI.2013.116
Filename :
6735327
Link To Document :
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