BulDML at Institute of Mathematics and Informatics >
IMI Periodicals >
Serdica Journal of Computing >
2019 >
Volume 13, Number 3-4 >

Please use this identifier to cite or link to this item:

Title: Enriching Domain Ontologies with Knowledge-based Semantics
Authors: Sy, Oumar
Keywords: Association Rules
Relational Database
Issue Date: 2019
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 13, No 3-4, (2019), 107p-122p
Abstract: Association rules and ontologies are both domain-based knowledge. However, the first is unexpected discovered knowledge from databases, while the second is a priori knowledge. In this paper, based on a generic meta-schema as a common referential and theoretical foundation, we show how a set of computed and pruned association rules can be useful in enriching a domain ontology. To this end, the meta- schema is scanned with the itemsets appearing in each association rule. Then, according to the formal links between the concepts or the attributes involved, a semantic-based check constraint is built. As a result, the ontology and the database are continuously tuned with new semantics. ACM Computing Classification System (1998): D.2.1, H.2.8, K.6.1.
ISSN: 1312-6555
Appears in Collections:Volume 13, Number 3-4

Files in This Item:

File Description SizeFormat
sjc-vol13-num3-4-2019-p107-p122.pdf270.92 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0!   Creative Commons License