DocumentCode :
1906107
Title :
EERtoOWL2: A Tool for Transforming RDB Data to OWL2 for Data Validation
Author :
Yajai, A. ; Sriharee, G.
Author_Institution :
Dept. of Comput. & Inf. Sci., King Mongkut´ Univ. of Technol. North Bangkok, Bangkok, Thailand
Volume :
1
fYear :
2012
fDate :
7-9 Nov. 2012
Firstpage :
970
Lastpage :
975
Abstract :
Data validation is an important task in order to ensure data quality. When the database has a complex data structure and, in addition, the data is changed by constraints related to the business of the database user, data validation can be a difficult task. This paper proposes the tool EERtoOWL2. The tool supports data validation using ontology reasoning. The relational database data is transformed into ontological data represented by OWL2. The transformation process relies on the Enhanced-Entity Relationship model. The tool validates the data and reports invalid data to the users. From the tool development, the OWL2 language has rich syntax and hence transformation of the relational database data into OWL2 is convenient. With ontology reasoning, the data validation process is efficient in detecting invalid data that may violate database integrity constraints as well as business/domain constraints.
Keywords :
data integrity; data structures; inference mechanisms; knowledge representation languages; ontologies (artificial intelligence); relational databases; EERtoOWL2; RDB data; business-domain constraints; complex data structure; data quality; data validation; database integrity constraints; enhanced-entity relationship model; ontology reasoning; relational database; Cognition; Data models; OWL; Ontologies; Relational databases; Semantics; Data Validation; Enhanced Entity Relationship; OWL2; Ontology Reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
Conference_Location :
Athens
ISSN :
1082-3409
Print_ISBN :
978-1-4799-0227-9
Type :
conf
DOI :
10.1109/ICTAI.2012.137
Filename :
6495151
Link To Document :
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