PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Furletti B., Turini F. Mining influence rules out of ontologies. In: ICSOFT 2011 - International Conference on Software and Data Technologies (Seville, Spain, 18-21 July 2011). Proceedings, pp. 323 - 333. SciTePress, 2011.
 
 
Abstract
(English)
A method for extracting new implicit knowledge starting from the ontology schema by using an inductive/ deductive approach is presented. By giving a new interpretation to relationships that already exist in an ontology, we are able to return the extracted knowledge as weighted If-Then Rules among concepts. The technique, that combines data mining and link analysis, is completely general and applicable to whatever domain. Since the output is a set of "standard" If-Then Rules, it can be used to integrate existing knowledge or for supporting any other data mining process. An application of the method to an ontology representing companies and their activities is included.
Subject Ontology mining
Knowledge discovery
If-Then rules
H.2.8 Database applications. Data mining


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