Semantic-Based Top-k Retrieval for Competence Management

18th International Symposium on Methodologies for Intelligent Systems ISMIS2009, springer-verlag - 2009
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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.

BibTex references


@InCollection{STCDD09,
author = {Umberto Straccia and Eufemia Tinelli and Simona Colucci and Tommaso {Di Noia} and Eugenio {Di Sciascio}},
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/STCDD
09"
}

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SisInf Lab - Information Systems Laboratory

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