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Volumn , Issue , 2006, Pages 319-330

Schema summarization

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS;

EID: 84893875711     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (84)

References (16)
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    • Akoka, J.1    Comyn-Wattiau, I.2
  • 2
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    • The anatomy of a large-scale hypertextual web search engine
    • S. Brin and L. Page. The Anatomy of a Large-Scale Hypertextual Web Search Engine. Computer Networks and ISDN Systems, 30(1-7):107-117, 1998.
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    • Brin, S.1    Page, L.2
  • 3
    • 0030172364 scopus 로고    scopus 로고
    • Conceptual schemas with abstractions: Making flat conceptual schemas more comprehensible
    • L. J. Campbell, T. A. Halpin, and H. A. Proper. Conceptual Schemas with Abstractions: Making Flat Conceptual Schemas More Comprehensible. Data Knowledge Engineering, 20(1):39-85, 1996.
    • (1996) Data Knowledge Engineering , vol.20 , Issue.1 , pp. 39-85
    • Campbell, L.J.1    Halpin, T.A.2    Proper, H.A.3
  • 4
    • 0032153830 scopus 로고    scopus 로고
    • Conceptual schema analysis: Techniques and applications
    • S. Castano, V. D. Antonellis, M. Fugini, and B. Pernici. Conceptual Schema Analysis: Techniques and Applications. TODS, 23(3):286-333, 1998.
    • (1998) TODS , vol.23 , Issue.3 , pp. 286-333
    • Castano, S.1    Antonellis, V.D.2    Fugini, M.3    Pernici, B.4
  • 5
    • 0022766869 scopus 로고
    • Entity model clustering: Structuring a data model by abstraction
    • P. Feldman and D. Miller. Entity Model Clustering: Structuring a Data Model by Abstraction. The Computer Journal, 29(4), 1986.
    • (1986) The Computer Journal , vol.29 , Issue.4
    • Feldman, P.1    Miller, D.2
  • 6
    • 84893878152 scopus 로고
    • Abstraction levels for entity-relationship schemas
    • C. Francalanci and B. Pernici. Abstraction Levels for Entity-Relationship Schemas. In ER, 1994.
    • (1994) ER
    • Francalanci, C.1    Pernici, B.2
  • 7
    • 30244510051 scopus 로고
    • A rule-based system tool for automated ER model clustering
    • S. B. Huffman and R. V. Zoeller. A Rule-Based System Tool for Automated ER Model Clustering. In ER, 1989.
    • (1989) ER
    • Huffman, S.B.1    Zoeller, R.V.2
  • 9
    • 0036205389 scopus 로고    scopus 로고
    • Similarity flooding: A versatile graph matching algorithm and its application to schema matching
    • S. Melnik, H. Garcia-Molina, and E. Rahm. Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching. In ICDE, 2002.
    • (2002) ICDE
    • Melnik, S.1    Garcia-Molina, H.2    Rahm, E.3
  • 10
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    • MiMI. http://mimi.ctaalliance.org.
  • 11
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    • A methodology for clustering entity relationship models - A human information processing approach
    • D. Moody and A. Filtman. A Methodology for Clustering Entity Relationship Models - A Human Information Processing Approach. In ER, 1999.
    • (1999) ER
    • Moody, D.1    Filtman, A.2
  • 13
    • 84976795212 scopus 로고
    • ER model clustering as an aid for user communication and documentation in database design
    • T. Teorey, G. Wei, D. Bolton, and J. Koenig. ER Model Clustering as an Aid for User Communication and Documentation in Database Design. Comm. of ACM, 32(8), 1989.
    • (1989) Comm. of ACM , vol.32 , Issue.8
    • Teorey, T.1    Wei, G.2    Bolton, D.3    Koenig, J.4
  • 14
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    • TPC-H Benchmark, http://www.tpc.org/tpch/.
  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.