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Volumn , Issue , 2003, Pages 90-93

Finding similar identities among objects from multiple web sources

Author keywords

Similarity; Web Data Integration

Indexed keywords

COMPUTATIONAL COMPLEXITY; DIGITAL LIBRARIES; FUNCTIONS; IDENTIFICATION (CONTROL SYSTEMS); OBJECT RECOGNITION; WORLD WIDE WEB;

EID: 4944247195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/956718.956719     Document Type: Conference Paper
Times cited : (22)

References (8)
  • 4
    • 0000666461 scopus 로고    scopus 로고
    • Data integration using similarity joins and a word-based information representation language
    • July
    • W. Cohen. Data Integration Using Similarity Joins and a Word-Based Information Representation Language. ACM Transactions on Information Systems, 18(3):288-321, July 2000.
    • (2000) ACM Transactions on Information Systems , vol.18 , Issue.3 , pp. 288-321
    • Cohen, W.1
  • 7
    • 0035657983 scopus 로고    scopus 로고
    • A survey of approaches to automatic schema matching
    • E. Rahm and P. A. Bernstein. A Survey of Approaches to Automatic Schema Matching. The VLDB Journal, 10:334-350, 2001.
    • (2001) The VLDB Journal , vol.10 , pp. 334-350
    • Rahm, E.1    Bernstein, P.A.2
  • 8
    • 0035545848 scopus 로고    scopus 로고
    • Learning object identification rules for information integration
    • S. Tejada, C. A. Knoblock, and S. Minton. Learning Object Identification Rules for Information Integration. Information Systems, 26(8):607-635, 2001.
    • (2001) Information Systems , vol.26 , Issue.8 , pp. 607-635
    • Tejada, S.1    Knoblock, C.A.2    Minton, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.