Finding association rules in semantic web data
Metadatos
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http://dx.doi.org/10.1016/j.knosys.2011.05.009 |
Metadatos
Título
Finding association rules in semantic web dataFecha de publicación
2012-02Editor
ElsevierISSN
0950-7051Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.sciencedirect.com/science/article/pii/S0950705111001031Palabras clave / Materias
Resumen
The amount of ontologies and semantic annotations available on the Web is constantly growing. This new type of complex and heterogeneous graph-structured data raises new challenges for the data mining community. In ... [+]
The amount of ontologies and semantic annotations available on the Web is constantly growing. This new type of complex and heterogeneous graph-structured data raises new challenges for the data mining community. In this paper, we present a novel method for mining association rules from semantic instance data repositories expressed in RDF/(S) and OWL. We take advantage of the schema-level (i.e. Tbox) knowledge encoded in the ontology to derive appropriate transactions which will later feed traditional association rules algorithms. This process is guided by the analyst requirements, expressed in the form of query patterns. Initial experiments performed on semantic data of a biomedical application show the usefulness and efficiency of the approach. [-]
Publicado en
Knowledge-Based Systems, 25, 1Derechos de acceso
(c) 2011 Elsevier B.V. All rights reserved
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