Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34624-8_23 | ISMIS |
Keywords | Field | DocType |
knowledge compilation approach,large scale skill,knowledge base,referral list,knowledge compilation,large scale data set,sql query,logic-based framework,inference service,automated skill matching,description logics | SQL,Data mining,Conjunctive query,Ranking,Relational database,Inference,Computer science,Description logic,Knowledge compilation,Artificial intelligence,Knowledge base,Machine learning | Conference |
Citations | PageRank | References |
4 | 0.41 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eufemia Tinelli | 1 | 90 | 11.70 |
| Simona Colucci | 2 | 1047 | 71.96 |
| Silvia Giannini | 3 | 6 | 1.81 |
| Eugenio Di Sciascio | 4 | 1733 | 147.71 |
| Francesco M. Donini | 5 | 3481 | 452.47 |