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.
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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)
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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
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DOI: https://doi.org/10.1007/978-3-642-38366-3_14
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