Abstract
In modern Economies, knowledge management systems (KMSs) applications are gradually adopted from a growing number of enterprises, organizations and governments. As digital content availability is increasing dramatically through centralized of distributed digital libraries operation, a great research interest is developed upon “clever” knowledge retrieval based on each user’s individual preferences. Modern man usually requests to get knowledge under time pressure. In many cases it is not possible to have enough time to evaluate extensively the huge amount of results presented after a “string-based” criteria query to a digital library. Next generation KMSs should be able to eliminate the results of a search query, based on a certain user’s profile. This profile carries information about the level of preexistent knowledge that maybe a user has on a certain knowledge area, the exact scope of its research and the time that he has available in order to exploit the results of this research. In this paper a new generation of KMSs is proposed that are supporting personalized knowledge retrieval. This is achieved through an innovative architecture of enriched knowledge objects for knowledge representation and the development of an expert system for diagnosis and dynamic knowledge composition.
Similar content being viewed by others
References
Abdullah RH, Sahibuddin S, Alias RA, Selamat MH (2006) Knowledge management system architecture for organizational learning with collaborative environment. Int J Comput Sci Network Secur 6(3A):237–246
Abecker A, Bernadi A, Sintek M (2000) Proactive knowledge delivery for enterprise knowledge management. In: Lecture notes in computer science, vol 1756. Springer, Heidelberg, pp 103–117
Benjamins VR, Fensel D, Perez AG (1998) Knowledge management though ontologies. In: Practical aspects of knowledge management, Proceedings of the second international conference, CEURWS. org, vol 13
Gandon F (2002) A multi-agent architecture for distributed corporate memories. In: Proceedings of the third international symposium, from agent theory to agent implementation, at the 16th European Meeting on Cybernetics and Systems Research, pp 623–628
Gasevic D, Jovanovic J, Devedzic V (2004) Ontologies for creating learning object content. In: Proceedings of the 8th international conference on knowledge-based intelligent information & engineering systems, pp 284–291
Horton B (2001) Designing knowledge objects. William Horton Consulting Inc
Koutsantonis D, Panayiotopoulos J-C (2006) Digital personal lessons in armed forces area. Defensor Pacis 8:40–51
Koutsantonis D, Panayiotopoulos J-C, Mavromatis G (2004) Converting experience to learning material. In: Euro XX symposium, Rhodes-Greece, July 2004
Merrill D (2000) Knowledge objects and mental models. Department of Instructional Technology, Utah State University
Nodine T, Petrides L (2003) Knowledge management in education: defining the landscape. The Institute for the Study of Knowledge Management in Education
O’Leary DE (1998) Using AI in knowledge management: knowledge bases and ontologies. IEEE Intell Syst 13(3):34–39
Sallis E, Jones G (2002) Knowledge management in education: enhancing learning and education. Kogan Page, London
Schmidt A (2005) Bridging the gap between e-learning and knowledge management with context-aware corporate learning (extended version). In: Professional knowledge management (WM 2005) post proceedings, pp 203–213
Thorn CA (2001) Knowledge for educational information systems: what is the state of the field? Educ Policy Anal Arch 9(47):1–32
Uren V, Cimiano P, Iria J, Handschuh S, Vargas-Vera M, Motta E, Ciravegna F (2006) Semantic annotation for knowledge management: requirements and a survey of the state of the art. J Web Semant 4(1):14–28
Williams A (1999) The role of multi-agent leaning in ontology based knowledge management. In: 1999 American Association for Artificial Intelligence, AAAI Spring symposium, 22–24 March. AAAI Press, Menlo Park
Zouaq A, Nkambou R, Frasson C (2006) An ontology-based solution for knowledge management and e-learning integration. Intell Tutoring Syst 716–718
Zouaq A, Nkambou R, Frasson C (2007) An integrated approach for automatic aggregation of learning knowledge objects. Interdiscip J Knowl Learn Objects 3:135–162
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Koutsantonis, D., Panayiotopoulos, JC. Expert system personalized knowledge retrieval. Oper Res Int J 11, 215–227 (2011). https://doi.org/10.1007/s12351-009-0048-4
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12351-009-0048-4