메뉴 건너뛰기




Volumn 61, Issue 2, 2007, Pages 281-303

Combining schema and instance information for integrating heterogeneous data sources

Author keywords

Data integration; Heterogeneous databases; Semantic correspondence

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; DATABASE SYSTEMS; INFORMATION RETRIEVAL; ITERATIVE METHODS; SEMANTICS;

EID: 33947161876     PISSN: 0169023X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.datak.2006.06.004     Document Type: Article
Times cited : (31)

References (54)
  • 2
    • 0041939453 scopus 로고    scopus 로고
    • The linguistic level: contribution for conceptual design, view integration, reuse and documentation
    • Ambrosio A.P., Métais E., and Meunier J. The linguistic level: contribution for conceptual design, view integration, reuse and documentation. Data & Knowledge Engineering 21 2 (1997) 111-129
    • (1997) Data & Knowledge Engineering , vol.21 , Issue.2 , pp. 111-129
    • Ambrosio, A.P.1    Métais, E.2    Meunier, J.3
  • 3
    • 0002696312 scopus 로고    scopus 로고
    • Matching records in a national medical patient index
    • Bell G.B., and Sethi A. Matching records in a national medical patient index. Communications of the ACM 44 8 (2001) 83-88
    • (2001) Communications of the ACM , vol.44 , Issue.8 , pp. 83-88
    • Bell, G.B.1    Sethi, A.2
  • 4
    • 33947166965 scopus 로고    scopus 로고
    • S.S. Benkley, J.F. Fandozzi, E.M. Housman, G.M. Woodhouse, Data element tool-based analysis (DELTA), The MITRE Corporation, Bedford, MA, Technical Report, MTR 95B0000147, 1995.
  • 6
    • 33947140417 scopus 로고    scopus 로고
    • C.D. Budzinsky, Automated spelling correction, Statistics Canada, Unpublished Report, 1991.
  • 8
    • 33947155481 scopus 로고    scopus 로고
    • C. Clifton, E. Housman, A. Rosenthal, Experience with a combined approach to attribute-matching across heterogeneous databases, in: Data Mining and Reverse Engineering, Proceedings of DS-7, 1997, pp. 429-451.
  • 9
    • 0033147369 scopus 로고    scopus 로고
    • Estimating the number of clusters in multivariate data by self-organizing maps
    • Costa J.A.F., and de Andrade Netto M.L. Estimating the number of clusters in multivariate data by self-organizing maps. International Journal of Neural Systems 9 3 (1999) 195-202
    • (1999) International Journal of Neural Systems , vol.9 , Issue.3 , pp. 195-202
    • Costa, J.A.F.1    de Andrade Netto, M.L.2
  • 10
    • 0032182242 scopus 로고    scopus 로고
    • A probabilistic decision model for entity matching in heterogeneous databases
    • Dey D., Sarkar S., and De P. A probabilistic decision model for entity matching in heterogeneous databases. Management Science 44 10 (1998) 1379-1395
    • (1998) Management Science , vol.44 , Issue.10 , pp. 1379-1395
    • Dey, D.1    Sarkar, S.2    De, P.3
  • 11
    • 84899884814 scopus 로고    scopus 로고
    • E. Ellmer, C. Huemer, D. Merkl, G. Pernul, Automatic classification of semantic concepts in view specifications, in: Database and Expert Systems Applications, Proceedings of 7th International Conference, DEXA '96, 1996, pp. 824-833.
  • 13
    • 33947122312 scopus 로고    scopus 로고
    • M.E. Fair, Record linkage in an information age society, in: Record Linkage Techniques-1997, 1997, pp. 427-441.
  • 14
    • 0035545935 scopus 로고    scopus 로고
    • Discovering and reconciling value conflicts for numerical data integration
    • Fan W., Lu H., Madnick S.E., and Cheung D. Discovering and reconciling value conflicts for numerical data integration. Information Systems 26 (2001) 635-656
    • (2001) Information Systems , Issue.26 , pp. 635-656
    • Fan, W.1    Lu, H.2    Madnick, S.E.3    Cheung, D.4
  • 16
    • 33947128801 scopus 로고    scopus 로고
    • M. Ganesh, J. Srivastava, T. Richardson, Mining entity-identification rules for database integration, in: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996, pp. 291-294.
  • 17
    • 33947148314 scopus 로고    scopus 로고
    • I.J. Haimowitz, Ö. Gür-Ali, H. Schwarz, Integrating and mining distributed customer databases, in: Proceedings of KDD-97, 1997, pp. 179-182.
  • 18
    • 0025603963 scopus 로고    scopus 로고
    • S. Hayne, S. Ram, Multi-user view integration system (MUVIS): an expert system for view integration, in: Proceedings of the Sixth International Conference on Data Engineering, 1990, pp. 402-410.
  • 19
    • 0013331361 scopus 로고    scopus 로고
    • Real-world data is dirty: data cleansing and the merge/purge problem
    • Hernández M.A., and Stolfo S.J. Real-world data is dirty: data cleansing and the merge/purge problem. Data Mining and Knowledge Discovery 2 1 (1998) 9-37
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.1 , pp. 9-37
    • Hernández, M.A.1    Stolfo, S.J.2
  • 20
    • 0030785978 scopus 로고    scopus 로고
    • Supporting schema integration by linguistic instruments
    • Johannesson P. Supporting schema integration by linguistic instruments. Data & Knowledge Engineering 21 2 (1997) 165-182
    • (1997) Data & Knowledge Engineering , vol.21 , Issue.2 , pp. 165-182
    • Johannesson, P.1
  • 23
    • 0034173996 scopus 로고    scopus 로고
    • SEMINT: a tool for identifying attribute correspondences in heterogeneous databases using neural networks
    • Li W.S., and Clifton C. SEMINT: a tool for identifying attribute correspondences in heterogeneous databases using neural networks. Data & Knowledge Engineering 33 1 (2000) 49-84
    • (2000) Data & Knowledge Engineering , vol.33 , Issue.1 , pp. 49-84
    • Li, W.S.1    Clifton, C.2
  • 24
    • 0034274591 scopus 로고    scopus 로고
    • A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
    • Lim T.S., Loh W.Y., and Shih Y.S. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning Journal 40 (1998) 203-228
    • (1998) Machine Learning Journal , Issue.40 , pp. 203-228
    • Lim, T.S.1    Loh, W.Y.2    Shih, Y.S.3
  • 25
    • 33947145816 scopus 로고    scopus 로고
    • H. Lu, W. Fan, C.H. Goh, S.E. Madnick, D.W. Cheng, Discovering and reconciling semantic conflicts: a data mining perspective, in: Data Mining and Reverse Engineering, Proceedings of DS-7, 1997, pp. 410-427.
  • 26
    • 0034866854 scopus 로고    scopus 로고
    • S. Luján-Mora, M. Palomar, Reducing inconsistency in integrating data from different sources, in: Proceedings of the 2001 International Database Engineering and Applications Symposium, 2001, pp. 209-218.
  • 27
    • 84944328057 scopus 로고    scopus 로고
    • J. Madhavan, P.A. Bernstein, E. Rahm, Generic schema matching with cupid, in: Proceedings of the 27th International Conferences on Very Large Databases, 2001, pp. 49-58.
  • 28
    • 0030572617 scopus 로고    scopus 로고
    • A comparison of SOM neural network and hierarchical clustering methods
    • Mangiameli P., Chen S.K., and West D. A comparison of SOM neural network and hierarchical clustering methods. European Journal of Operational Research 93 2 (1996) 402-417
    • (1996) European Journal of Operational Research , vol.93 , Issue.2 , pp. 402-417
    • Mangiameli, P.1    Chen, S.K.2    West, D.3
  • 29
    • 84949233210 scopus 로고    scopus 로고
    • N. Masood, B. Eaglestone, Semantics based schema analysis, in: Database and Expert Systems Applications, 9th International Conference (DEXA'98), 1998, pp. 80-89.
  • 30
    • 0030782845 scopus 로고    scopus 로고
    • Semantic integration of conceptual schemas
    • Mirbel I. Semantic integration of conceptual schemas. Data & Knowledge Engineering 21 2 (1997) 183-195
    • (1997) Data & Knowledge Engineering , vol.21 , Issue.2 , pp. 183-195
    • Mirbel, I.1
  • 31
    • 33947113998 scopus 로고    scopus 로고
    • S. Navathe, H. Thomas, M. Satitsamitpong, A. Datta, A model to support E-catalog integration, in: Semantic Issues in e-Commerce Systems, Proceedings of DS-9, 2001, pp. 247-261.
  • 32
    • 0034561588 scopus 로고    scopus 로고
    • Intensional and extensional integration and abstraction of heterogeneous databases
    • Palopoli L., Pontieri L., Terracina G., and Ursino D. Intensional and extensional integration and abstraction of heterogeneous databases. Data & Knowledge Engineering 35 3 (2000) 201-237
    • (2000) Data & Knowledge Engineering , vol.35 , Issue.3 , pp. 201-237
    • Palopoli, L.1    Pontieri, L.2    Terracina, G.3    Ursino, D.4
  • 34
    • 33947152154 scopus 로고    scopus 로고
    • J.C. Pinheiro, D.X. Sun, Methods for linking and mining massive heterogeneous databases, in: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 1998, pp. 309-313.
  • 36
    • 0012368484 scopus 로고    scopus 로고
    • Schema integration: past, present and future
    • Elmagarmid A., Rusinkiewicz M., and Sheth A. (Eds), Morgan Kaufman Publishers
    • Ram S., and Venkataraman R. Schema integration: past, present and future. In: Elmagarmid A., Rusinkiewicz M., and Sheth A. (Eds). Management of Heterogeneous and Autonomous Database Systems (1999), Morgan Kaufman Publishers 119-156
    • (1999) Management of Heterogeneous and Autonomous Database Systems , pp. 119-156
    • Ram, S.1    Venkataraman, R.2
  • 37
    • 33947187765 scopus 로고    scopus 로고
    • S. Ram, H. Zhao, Detecting both schema-level and instance-level correspondences for the integration of E-catalogs, in: Proceedings of the Eleventh Annual Workshop on Information Technology and Systems (WITS'01), New Orleans, Louisiana, USA, 2001, pp. 193-198.
  • 38
    • 84957864984 scopus 로고    scopus 로고
    • M.A. Rodríguez, M.J. Egenhofer, R.D. Rugg, Assessing semantic similarities among geospatial feature class definitions, in: Proceedings of the Second International Conference on Interoperating Geographic Information Systems (INTEROP'99), Lecture Notes in Computer Science, vol. 1580, 1999, pp. 189-202.
  • 40
    • 84887891988 scopus 로고    scopus 로고
    • A. Si, C.C. Ying, D. McLeod, On using historical update information for instance identification in federated databases, in: Proceedings of the First IFCIS International Conference on Cooperative Information Systems, 1996, pp. 68-77.
  • 41
    • 0030144501 scopus 로고    scopus 로고
    • Semantic similarity relations and computation in schema integration
    • Song W.W., Johannesson P., and Bubenko J.A. Semantic similarity relations and computation in schema integration. Data & Knowledge Engineering 19 1 (1996) 65-97
    • (1996) Data & Knowledge Engineering , vol.19 , Issue.1 , pp. 65-97
    • Song, W.W.1    Johannesson, P.2    Bubenko, J.A.3
  • 42
  • 44
    • 0035545848 scopus 로고    scopus 로고
    • Learning object identification rules for information integration
    • Tejada S., Knoblock C.A., and Minton S. Learning object identification rules for information integration. Information Systems 26 8 (2001) 607-633
    • (2001) Information Systems , vol.26 , Issue.8 , pp. 607-633
    • Tejada, S.1    Knoblock, C.A.2    Minton, S.3
  • 47
    • 33947123323 scopus 로고    scopus 로고
    • W.E. Winkler, Matching and record linkage, in: Record Linkage Techniques-1997, 1997, pp. 374-403.
  • 48
    • 5644293347 scopus 로고    scopus 로고
    • Record linkage software and methods for merging administrative lists
    • Eurostat, Luxembourg
    • Winkler W.E. Record linkage software and methods for merging administrative lists. Exchange of Technology and Know-How (1999), Eurostat, Luxembourg 313-323
    • (1999) Exchange of Technology and Know-How , pp. 313-323
    • Winkler, W.E.1
  • 51
    • 33947109105 scopus 로고    scopus 로고
    • H. Zhao, Combining schema and instance information for integrating heterogeneous databases: an analytical approach and empirical evaluation, Ph.D. dissertation, University of Arizona, 2002.
  • 52
    • 4444314464 scopus 로고    scopus 로고
    • Clustering schema elements for semantic integration of heterogeneous data sources
    • Zhao H., and Ram S. Clustering schema elements for semantic integration of heterogeneous data sources. Journal of Database Management 15 4 (2004) 88-106
    • (2004) Journal of Database Management , vol.15 , Issue.4 , pp. 88-106
    • Zhao, H.1    Ram, S.2
  • 53
    • 5644287747 scopus 로고    scopus 로고
    • Entity identification for heterogeneous database integration-a multiple classifier system approach and empirical evaluation
    • Zhao H., and Ram S. Entity identification for heterogeneous database integration-a multiple classifier system approach and empirical evaluation. Information Systems 30 2 (2005) 119-132
    • (2005) Information Systems , vol.30 , Issue.2 , pp. 119-132
    • Zhao, H.1    Ram, S.2
  • 54
    • 33947183147 scopus 로고    scopus 로고
    • Clustering similar schema elements across heterogeneous databases: a first step in database integration
    • Siau K. (Ed), Idea Group Publishing
    • Zhao H., and Ram S. Clustering similar schema elements across heterogeneous databases: a first step in database integration. In: Siau K. (Ed). Advanced Topics in Database Research vol. 5 (2006), Idea Group Publishing 235-256
    • (2006) Advanced Topics in Database Research , vol.5 , pp. 235-256
    • Zhao, H.1    Ram, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.