PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Furletti B., Turini F. What else can be extracted from ontologies? Influence rules. María José Escalona, José Cordeiro, Boris Shishkov (eds.). (Communications in Computer and Information Science, vol. 303). Berlin-Heidelberg: Springer, 2013.
 
 
Abstract
(English)
A method for extracting new implicit knowledge from ontologies by using an inductive/deductive approach is presented. The new extracted knowledge takes the form of If-Then rules annotated with a weight. Such rules, termed Influence Rules, specify how the values of the properties bound to a collection of concepts may influence the values of the properties of another concept.The technique, that combines data mining and link analysis, is completely general and applicable to whatever domain. The paper reports the methods and the algorithms supporting the process of mining the rules out of the ontology, and discusses its application to real data from the economic field.
URL: http://link.springer.com/chapter/10.1007%2F978-3-642-36177-7_17
DOI: 10.1007/978-3-642-36177-7_17
Subject Ontology mining
Knowledge discovery
If-Then rules
H.2.8 Database Applications
68Uxx Computing methodologies and applications
97R40 Artificial intelligence


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