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Semantic Web Information Management pp 449–476Cite as

Informative Top-k Retrieval for Advanced Skill Management

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Abstract

The paper presents a knowledge-based framework for skills and talent management based on an advanced matchmaking between profiles of candidates and available job positions. Interestingly, informative content of top-k retrieval is enriched through semantic capabilities. The proposed approach allows to: (1) express a requested profile in terms of both hard constraints and soft ones; (2) provide a ranking function based also on qualitative attributes of a profile; (3) explain the resulting outcomes (given a job request, a motivation for the obtained score of each selected profile is provided). Top-k retrieval allows to select most promising candidates according to an ontology formalizing the domain knowledge. Such a knowledge is further exploited to provide a semantic-based explanation of missing or conflicting features in retrieved profiles. They also indicate additional profile characteristics emerging by the retrieval procedure for a further request refinement. A concrete case study followed by an exhaustive experimental campaign is reported to prove the approach effectiveness.

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Author information

Authors and Affiliations

  1. Politecnico di Bari, via E. Orabona 4, 70125, Bari, Italy

    Simona Colucci, Tommaso Di Noia, Azzurra Ragone, Michele Ruta & Eufemia Tinelli

  2. Data Over Ontological Models—D.O.O.M. srl, via N. Paganini 7, 75100, Matera, Italy

    Simona Colucci

  3. ISTI-CNR, Via G. Moruzzi 1, 56124, Pisa, Italy

    Umberto Straccia

Authors
  1. Simona Colucci
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  2. Tommaso Di Noia
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  3. Azzurra Ragone
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  4. Michele Ruta
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  5. Umberto Straccia
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  6. Eufemia Tinelli
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Corresponding author

Correspondence to Eufemia Tinelli .

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Editors and Affiliations

  1. Dipto. Informatica e Automazione, Università Roma Tre, Via della Vasca Navale 79, Roma, 00146, Italy

    Roberto de Virgilio

  2. Dipto. Ingegneria e Scienza, Università di Trento, Via Sommarive 14, Povo, 38100, Italy

    Fausto Giunchiglia

  3. Dipto. Elettronica e Informazione (DEI), Politecnico di Milano, Via Ponzio 34/5, Milano, 20133, Italy

    Letizia Tanca

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Colucci, S., Di Noia, T., Ragone, A., Ruta, M., Straccia, U., Tinelli, E. (2010). Informative Top-k Retrieval for Advanced Skill Management. In: de Virgilio, R., Giunchiglia, F., Tanca, L. (eds) Semantic Web Information Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04329-1_19

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  • DOI: https://doi.org/10.1007/978-3-642-04329-1_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04328-4

  • Online ISBN: 978-3-642-04329-1

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