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Volumn 10, Issue 6, 2004, Pages 723-731

Semantic-based approach to task assignment of individual profiles

Author keywords

Description Logics; Knowledge elicitation; Skill matching

Indexed keywords


EID: 23844444110     PISSN: 0958695X     EISSN: 09486968     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (14)
  • 2
    • 23844538536 scopus 로고    scopus 로고
    • The DIG description logic interface
    • Proceedings of the 16th International Workshop on Description Logics (DL'03), September
    • S. Bechhofer, R. Mller, and P. Crowther. The DIG Description Logic Interface. In Proceedings of the 16th International Workshop on Description Logics (DL'03), volume 81 of CEUR Workshop Proc., September 2003.
    • (2003) CEUR Workshop Proc. , vol.81
    • Bechhofer, S.1    Mller, R.2    Crowther, P.3
  • 5
    • 0001776513 scopus 로고    scopus 로고
    • Reasoning in Description Logics
    • Gerhard Brewka, editor, Studies in Logic, Language and Information. CSLI Publications
    • F. M. Donini, M. Lenzerini, D. Nardi, and A. Schaerf. Reasoning in Description Logics. In Gerhard Brewka, editor, Principles of Knowledge Representation, Studies in Logic, Language and Information, pages 193-238. CSLI Publications, 1996.
    • (1996) Principles of Knowledge Representation , pp. 193-238
    • Donini, F.M.1    Lenzerini, M.2    Nardi, D.3    Schaerf, A.4
  • 6
    • 0022675147 scopus 로고
    • Efficient algorithms for finding maximum matching in graphs
    • Zvi Galil. Efficient algorithms for finding maximum matching in graphs. ACM Comput. Surv, 18(1):23-38, 1986.
    • (1986) ACM Comput. Surv , vol.18 , Issue.1 , pp. 23-38
    • Galil, Z.1
  • 7
    • 7444243885 scopus 로고    scopus 로고
    • An xml multi-agent system for e-learning and skill management
    • Agent Technologies, Infrastructures, Tools, and Applications for E-Services. Springer
    • A. Garro and L. Palopoli. An xml multi-agent system for e-learning and skill management. In Agent Technologies, Infrastructures, Tools, and Applications for E-Services, volume 2592 of LCNS, pages 283-294. Springer, 2003.
    • (2003) LCNS , vol.2592 , pp. 283-294
    • Garro, A.1    Palopoli, L.2
  • 9
    • 0026224123 scopus 로고
    • An empirical analysis of the dense assignment problem: Sequential and parallel implementations
    • J. Kennington and Z. Wang. An empirical analysis of the dense assignment problem: Sequential and parallel implementations. ORSA Journal on Computing, 3(4):299-306, 1991.
    • (1991) ORSA Journal on Computing , vol.3 , Issue.4 , pp. 299-306
    • Kennington, J.1    Wang, Z.2
  • 10
    • 0002719797 scopus 로고
    • The hungarian method for the assignment problem
    • H. Kuhn. The hungarian method for the assignment problem. Naval Research Logistics Quarterly, 2:83-97, 1955.
    • (1955) Naval Research Logistics Quarterly , vol.2 , pp. 83-97
    • Kuhn, H.1
  • 11
    • 2542580533 scopus 로고    scopus 로고
    • Introducing ontology-based skills management at a large insurance company
    • T. Lau and Y. Sure. Introducing ontology-based skills management at a large insurance company. In Proceedings of the Modellierung, 2002.
    • (2002) Proceedings of the Modellierung
    • Lau, T.1    Sure, Y.2
  • 12
    • 0142099133 scopus 로고
    • Matching algorithms for bipartite graph
    • Departamento de Cincia da Computao, Universidade Estudal de Campinas
    • H. Baier Saip and C. Lucchesi. Matching algorithms for bipartite graph. Technical Report DCC -03/93. Departamento de Cincia da Computao, Universidade Estudal de Campinas, 1993.
    • (1993) Technical Report , vol.DCC-03-93
    • Saip, H.B.1    Lucchesi, C.2
  • 14
    • 0034832467 scopus 로고    scopus 로고
    • Matchmaking for autonomous agents in electronic marketplaces
    • ACM
    • D. Veit, J.P. Muller, M. Schneider, and B. Fiehn. Matchmaking for Autonomous Agents in Electronic Marketplaces. In Proc. AGENTS '01, pages 65-66. ACM, 2001.
    • (2001) Proc. AGENTS '01 , pp. 65-66
    • Veit, D.1    Muller, J.P.2    Schneider, M.3    Fiehn, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.