Abstract
Knowledge Management (KM) asks for information-intensive services over large amount of data, modeling the intellectual capital of an organization. To combine the expressiveness of logic-based languages with efficient information processing, we adopt a Knowledge Compilation approach to the extraction of “Core Competence” of a given company, a typical KM problem. In particular, we translate into a relational database schema the full logical description formalized in a Knowledge Base (KB), modeling organizational intellectual capital according to the formalism of Description Logics (DLs). Core Competence extraction is consequently performed through standard-SQL queries, while retaining the expressiveness of the logical representation. The service has been embedded in a system for Human Resource Management, I.M.P.A.K.T., to show how Core Competence extraction performance significantly improves w.r.t. implementations exploiting DL reasoning engines.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Draganidis, F., Mentzas, G.: Competency based management: A review of systems and approaches. Inform. Manag. and Computer Security 14(1), 51–64 (2006)
Cadoli, M., Donini, F.M.: A survey on knowledge compilation. AI Commun. 10(3-4), 137–150 (1997)
Hamel, G., Prahalad, C.K.: The core competence of the corporation. Harvard Business Review, 79–90 (May-June 1990)
Hafeez, K., Zhang, Y., Malak, N.: Core competence for sustainable competitive advantage: a structured methodology for identifying core competence. IEEE Transactions on Engineering Management 49(1), 28–35 (2002)
Tampoe, M.: Exploiting the core competences of your organization. Long Range Planning 27(4), 66–77 (1994)
Sanchez, R., Heene, A.: Reinventing strategic management: New theory and practice for competence-based competition. European Management Journal 15(3), 303–317 (1997)
Baader, F., Calvanese, D., Mc Guinness, D., Nardi, D., Patel-Schneider, P. (eds.): The Description Logic Handbook, 2nd edn. Cambridge University Press (2007)
Tinelli, E., Colucci, S., Giannini, S., Di Sciascio, E., Donini, F.M.: Large scale skill matching through knowledge compilation. In: Chen, L., Felfernig, A., Liu, J., Raś, Z.W. (eds.) ISMIS 2012. LNCS, vol. 7661, pp. 192–201. Springer, Heidelberg (2012)
Tinelli, E., Colucci, S., Di Sciascio, E., Donini, F.M.: Knowledge compilation for automated team composition exploiting standard SQL. In: Proc. of SAC 2012, pp. 1680–1685. ACM (2012)
Dolby, J., Fokoue, A., Kalyanpur, A., Schonberg, E., Srinivas, K.: Efficient Reasoning on Large SHIN Aboxes in Relational Databases. In: SSWS 2009, pp. 110–124. CEUR (2009)
Kiryakov, A., Ognyanov, D., Manov, D.: OWLIM – A pragmatic semantic repository for OWL. In: Dean, M., Guo, Y., Jun, W., Kaschek, R., Krishnaswamy, S., Pan, Z., Sheng, Q.Z. (eds.) WISE 2005 Workshops. LNCS, vol. 3807, pp. 182–192. Springer, Heidelberg (2005)
Colucci, S., Di Sciascio, E., Donini, F.M.: A knowledge based solution for core competence evaluation in human capital intensive companies. In: Proc. of I-KNOW 2008, pp. 259–266. Springer (2008)
Cohen, W.W., Borgida, A., Hirsh, H.: Computing least common subsumers in description logics. In: Proc. of AAAI 1992, pp. 754–760. AAAI Press (1992)
Colucci, S., Tinelli, E., Sciascio, E.D., Donini, F.M.: Automating competence management through non-standard reasoning. Engineering Applications of Artificial Intelligence 24(8), 1368–1384 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Colucci, S., Tinelli, E., Giannini, S., Di Sciascio, E., Donini, F.M. (2013). Knowledge Compilation for Core Competence Extraction in Organizations. In: Abramowicz, W. (eds) Business Information Systems. BIS 2013. Lecture Notes in Business Information Processing, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38366-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-38366-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38365-6
Online ISBN: 978-3-642-38366-3
eBook Packages: Computer ScienceComputer Science (R0)