Semantic-Based Top-k Retrieval for Competence Management
Authors
Straccia Umberto, Tinelli Eufemia, Colucci Simona, Di Noia Tommaso, Di Sciascio EugenioAbstract
Semantic-Based Top-k Retrieval for Competence Management
In Proceedings of the 18th International Symposium on Methodologies for Intelligent Systems (ISMIS-09).
Abstract:
We present a knowledge-based system, for skills and talent management, exploiting semantic technologies combined with top-k retrieval techniques. The system provides advanced distinguishing features, including the possibility to formulate queries by expressing both strict requirements and preferences in the requested profile and a semantic-based ranking of retrieved candidates. Based on the knowledge formalized within a domain ontology , the system implements an approach exploiting top-k based reasoning services to evaluate semantic similarity between the requested profile and retrieved ones. System performance is discussed through the presentation of experimental results.
DOI
https://doi.org/10.1007/978-3-319-00954-4_5BibTex references
@InCollection{STCDD09, author = "Straccia, Umberto and Tinelli, Eufemia and Colucci, Simona and Di Noia, Tommaso and Di Sciascio, Eugenio", title = "Semantic-Based Top-k Retrieval for Competence Management", booktitle = "18th International Symposium on Methodologies for Intelligent Systems ISMIS2009", series = "Lecture Notes in Artificial Intelligence", year = "2009", publisher = "springer-verlag", note = "to appear", url = "http://sisinflab.poliba.it/Publications/2009/STCDD09" }