What else can be extracted from ontologies? Influence rules (Contributo in volume (capitolo o saggio))

Type
Label
  • What else can be extracted from ontologies? Influence rules (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-36177-7_17 (literal)
Alternative label
  • Furletti B., Turini F. (2013)
    What else can be extracted from ontologies? Influence rules
    Springer, Heidelberg (Germania) in Software and Data Technologies. Revised selected papers, 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Furletti B., Turini F. (literal)
Pagina inizio
  • 270 (literal)
Pagina fine
  • 285 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • 6th International Conference, ICSOFT 2011 (Seville, Spain, July 18-21, 2011). Revised Selected Papers Financial Risk Management Ontology of the UE Projec Acronimo musing 2006 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007%2F978-3-642-36177-7_17 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Software and Data Technologies. Revised selected papers (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 303 (literal)
Note
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy; Computer Science Department, University of Pisa; (literal)
Titolo
  • What else can be extracted from ontologies? Influence rules (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-36176-0 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • María José Escalona, José Cordeiro, Boris Shishkov (literal)
Abstract
  • 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. (literal)
Editore
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Editore di
Insieme di parole chiave di
data.CNR.it