We present a logic-based framework for automated skill matching, able to return a ranked referral list and the related ranking explanation. Thanks to a Knowledge Compilation approach, a knowledge base in Description Logics is translated into a relational database, without loss of information. Skill matching inference services are then efficiently executed via SQL queries. Experimental results for scalability and turnaround times on large scale data sets are reported, confirming the validity of the approach. © 2012 Springer-Verlag.
Large scale skill matching through knowledge compilation / Tinelli, Eufemia; Colucci, Simona; Giannini, Silvia; DI SCIASCIO, Eugenio; Donini, Francesco M.. - 7661:(2012), pp. 192-201. (Intervento presentato al convegno 20th International Symposium on Methodologies for Intelligent Systems, ISMIS 2012 tenutosi a Macau, China, nel December 4-7, 2012) [10.1007/978-3-642-34624-8_23].
Large scale skill matching through knowledge compilation
TINELLI, Eufemia;COLUCCI, Simona;GIANNINI, Silvia;DI SCIASCIO, Eugenio;
2012-01-01
Abstract
We present a logic-based framework for automated skill matching, able to return a ranked referral list and the related ranking explanation. Thanks to a Knowledge Compilation approach, a knowledge base in Description Logics is translated into a relational database, without loss of information. Skill matching inference services are then efficiently executed via SQL queries. Experimental results for scalability and turnaround times on large scale data sets are reported, confirming the validity of the approach. © 2012 Springer-Verlag.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
