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Knowledge compilation for automated Team Composition exploiting standard SQL

Published: 26 March 2012 Publication History

Abstract

Automatically finding suitable candidates in an organization to compose a team able to solve a given task is a typical problem in large companies. In this paper we present a Description Logics approach to Team Composition based on candidates technical knowledge and on tasks descriptions, modeled according to a skills ontology in ALE(D). The novelty of our approach is that our implemented service exploits standard-SQL querying expressiveness to emulate the proper reasoning procedures. The Team Composition service has been deployed as part of I.M.P.A.K.T., a skill management system, and results show the effectiveness of the proposed approach.

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cover image ACM Conferences
SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing
March 2012
2179 pages
ISBN:9781450308571
DOI:10.1145/2245276
  • Conference Chairs:
  • Sascha Ossowski,
  • Paola Lecca
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 26 March 2012

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Author Tags

  1. RDBMS
  2. SQL
  3. description logics
  4. semantic team composition

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SAC 2012
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SAC 2012: ACM Symposium on Applied Computing
March 26 - 30, 2012
Trento, Italy

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SAC '12 Paper Acceptance Rate 270 of 1,056 submissions, 26%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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The 40th ACM/SIGAPP Symposium on Applied Computing
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