Semantic-Based Top-k Retrieval for Competence Management

18th International Symposium on Methodologies for Intelligent Systems ISMIS2009 - -2009

Authors

Straccia Umberto, Tinelli Eufemia, Colucci Simona, Di Noia Tommaso, Di Sciascio Eugenio

Abstract

Abstract Straccia et al.

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.

Download: ismis.pdf

DOI

https://doi.org/10.1007/978-3-319-00954-4_5

BibTex 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"

}