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Volumn WS-05-01, Issue , 2005, Pages 100-103

Enhance reuse of standard e-Business XML schema documents

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER APPLICATIONS; COMPUTER SOFTWARE; INTEGRATION; INTERFACES (COMPUTER); INTEROPERABILITY; SPECIFICATIONS; XML;

EID: 33646049321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (20)
  • 1
    • 33646431807 scopus 로고    scopus 로고
    • S-match: An algorithm and an implementation of semantic matching
    • Giunchiglia, F., Shvaiko, P., and Yatskevich. M. 2004. S-Match: An Algorithm and an Implementation of Semantic Matching. In Proc. of ESWS:61-75.
    • (2004) Proc. of ESWS , pp. 61-75
    • Giunchiglia, F.1    Shvaiko, P.2    Yatskevich, M.3
  • 7
    • 0003033112 scopus 로고
    • Using information content to evaluate semantic similarity in a taxonomy
    • Montreal, Canada
    • Resnik, P. 1995. Using Information Content to Evaluate Semantic Similarity in a Taxonomy. In Proc. of the 14th Intl. Joint Conf. on AI, Montreal, Canada:448-453.
    • (1995) Proc. of the 14th Intl. Joint Conf. on AI , pp. 448-453
    • Resnik, P.1
  • 17
    • 7044221848 scopus 로고    scopus 로고
    • Semantic resolution for e-Commerce, innovative concepts for agent-based systems
    • Peng, Y., Zou, Y., Luan, X., Ivezic, N., Gruninger, M., and Jones, A. 2003. Semantic Resolution for e-Commerce, Innovative Concepts for Agent-Based Systems. Springer-Verlag:355-366.
    • (2003) Springer-Verlag , pp. 355-366
    • Peng, Y.1    Zou, Y.2    Luan, X.3    Ivezic, N.4    Gruninger, M.5    Jones, A.6
  • 18
    • 0242453381 scopus 로고    scopus 로고
    • COMA: A system for flexible combination of schema matching approaches
    • Roma, Italy
    • Do, H. and Rahm, E. 2001. COMA: A System for Flexible Combination of Schema Matching Approaches, In Proc. of VLDB, Roma, Italy:610-621.
    • (2001) Proc. of VLDB , pp. 610-621
    • Do, H.1    Rahm, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.