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Volumn , Issue , 2012, Pages 182-195

Learning schema mappings

Author keywords

Computational learning theory; Data exchange; Schema mappings

Indexed keywords

ALGORITHMIC METHODS; COMPUTATIONAL LEARNING THEORY; DATA EXAMPLES; EQUIVALENCE QUERIES; EXACT LEARNING; HIGH LEVEL SPECIFICATION; LEARNABILITY; LEARNING MODELS; LEARNING THEORY; MEMBERSHIP QUERY; SCHEMA MAPPINGS; UNARY RELATIONS;

EID: 84863911135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2274576.2274596     Document Type: Conference Paper
Times cited : (15)

References (43)
  • 2
    • 52649104845 scopus 로고    scopus 로고
    • Muse: Mapping understanding and deSign by example
    • B. Alexe, L. Chiticariu, R. J. Miller, and W. C. Tan. Muse: Mapping Understanding and deSign by Example. In ICDE, pages 10-19, 2008.
    • (2008) ICDE , pp. 10-19
    • Alexe, B.1    Chiticariu, L.2    Miller, R.J.3    Tan, W.C.4
  • 3
    • 77954728131 scopus 로고    scopus 로고
    • Characterizing schema mappings via data examples
    • B. Alexe, P. G. Kolaitis, and W. C. Tan. Characterizing schema mappings via data examples. In PODS, pages 261-272, 2010.
    • (2010) PODS , pp. 261-272
    • Alexe, B.1    Kolaitis, P.G.2    Tan, W.C.3
  • 4
    • 79959992888 scopus 로고    scopus 로고
    • Designing and refining schema mappings via data examples
    • B. Alexe, B. ten Cate, P. G. Kolaitis, and W. C. Tan. Designing and refining schema mappings via data examples. In SIGMOD, pages 133-144, 2011.
    • (2011) SIGMOD , pp. 133-144
    • Alexe, B.1    Ten Cate, B.2    Kolaitis, P.G.3    Tan, W.C.4
  • 5
    • 0000710299 scopus 로고
    • Queries and concept learning
    • D. Angluin. Queries and concept learning. Machine Learning, 2(4):319-342, 1987.
    • (1987) Machine Learning , vol.2 , Issue.4 , pp. 319-342
    • Angluin, D.1
  • 6
    • 0025449393 scopus 로고
    • Negative results for equivalence queries
    • D. Angluin. Negative results for equivalence queries. Machine Learning, 5:121-150, 1990.
    • (1990) Machine Learning , vol.5 , pp. 121-150
    • Angluin, D.1
  • 7
    • 0000452640 scopus 로고
    • Learning conjunctions of horn clauses
    • July
    • D. Angluin, M. Frazier, and L. Pitt. Learning conjunctions of horn clauses. Mach. Learn., 9:147-164, July 1992.
    • (1992) Mach. Learn. , vol.9 , pp. 147-164
    • Angluin, D.1    Frazier, M.2    Pitt, L.3
  • 8
    • 0029293093 scopus 로고
    • When won't membership queries help? J
    • D. Angluin and M. Kharitonov. When won't membership queries help? J. Comput. Syst. Sci., 50(2):336-355, 1995.
    • (1995) Comput. Syst. Sci. , vol.50 , Issue.2 , pp. 336-355
    • Angluin, D.1    Kharitonov, M.2
  • 10
    • 67650718426 scopus 로고    scopus 로고
    • Logical foundations of relational data exchange
    • P. Barceló. Logical foundations of relational data exchange. SIGMOD Record, 38(1):49-58, 2009.
    • (2009) SIGMOD Record , vol.38 , Issue.1 , pp. 49-58
    • Barceló, P.1
  • 13
    • 33745634897 scopus 로고    scopus 로고
    • HePToX: Marrying XML and heterogeneity in your P2P databases
    • A. Bonifati, E. Q. Chang, T. Ho, V. S. Lakshmanan, and R. Pottinger. HePToX: Marrying XML and Heterogeneity in Your P2P Databases. In VLDB, pages 1267-1270, 2005.
    • (2005) VLDB , pp. 1267-1270
    • Bonifati, A.1    Chang, E.Q.2    Ho, T.3    Lakshmanan, V.S.4    Pottinger, R.5
  • 14
    • 84958776545 scopus 로고
    • Optimal implementation of conjunctive queries in relational data bases
    • A. K. Chandra and P. M. Merlin. Optimal implementation of conjunctive queries in relational data bases. In STOC, pages 77-90, 1977.
    • (1977) STOC , pp. 77-90
    • Chandra, A.K.1    Merlin, P.M.2
  • 15
    • 0003505668 scopus 로고    scopus 로고
    • Conjunctive query containment revisited
    • May
    • C. Chekuri and A. Rajaraman. Conjunctive query containment revisited. Theor. Comput. Sci., 239:211-229, May 2000.
    • (2000) Theor. Comput. Sci. , vol.239 , pp. 211-229
    • Chekuri, C.1    Rajaraman, A.2
  • 16
    • 0029408886 scopus 로고
    • PAC-learning non-recursive prolog clauses
    • W. W. Cohen. PAC-learning non-recursive prolog clauses. Artif. Intell., 79(1):1-38, 1995.
    • (1995) Artif. Intell. , vol.79 , Issue.1 , pp. 1-38
    • Cohen, W.W.1
  • 17
    • 0000450110 scopus 로고
    • PAC-learning recursive logic programs: Efficient algorithms
    • W. W. Cohen. PAC-learning recursive logic programs: Efficient algorithms. J. Artif. Intell. Res. (JAIR), 2:501-539, 1995.
    • (1995) J. Artif. Intell. Res. (JAIR) , vol.2 , pp. 501-539
    • Cohen, W.W.1
  • 18
    • 0000450112 scopus 로고
    • PAC-learning recursive logic programs: Negative results
    • W. W. Cohen. PAC-learning recursive logic programs: Negative results. J. Artif. Intell. Res. (JAIR), 2:541-573, 1995.
    • (1995) J. Artif. Intell. Res. (JAIR) , vol.2 , pp. 541-573
    • Cohen, W.W.1
  • 20
    • 24544444514 scopus 로고    scopus 로고
    • PhD thesis, Computer Science and Engineering, University of Washington, University of Pennsylvania
    • A. Doan. Learning to Map between Structured Representations of Data. PhD thesis, Computer Science and Engineering, University of Washington, University of Pennsylvania, 2002.
    • (2002) Learning to Map Between Structured Representations of Data
    • Doan, A.1
  • 21
    • 67650319921 scopus 로고    scopus 로고
    • Learning to map between ontologies on the semantic web
    • A. Doan, J. Madhavan, P. Domingos, and A. Y. Halevy. Learning to map between ontologies on the semantic web. In WWW, pages 662-673, 2002.
    • (2002) WWW , pp. 662-673
    • Doan, A.1    Madhavan, J.2    Domingos, P.3    Halevy, A.Y.4
  • 23
    • 67649641438 scopus 로고    scopus 로고
    • Discovering conditional functional dependencies
    • W. Fan, F. Geerts, L. V. S. Lakshmanan, and M. Xiong. Discovering conditional functional dependencies. In ICDE, pages 1231-1234, 2009.
    • (2009) ICDE , pp. 1231-1234
    • Fan, W.1    Geerts, F.2    Lakshmanan, L.V.S.3    Xiong, M.4
  • 24
    • 56249141083 scopus 로고    scopus 로고
    • Hardness of approximate two-level logic minimization and PAC learning with membership queries
    • V. Feldman. Hardness of approximate two-level logic minimization and PAC learning with membership queries. J. Comput. Syst. Sci., 75(1):13-26, 2009.
    • (2009) J. Comput. Syst. Sci. , vol.75 , Issue.1 , pp. 13-26
    • Feldman, V.1
  • 25
    • 0033350089 scopus 로고    scopus 로고
    • Database dependency discovery: A machine learning approach
    • P. A. Flach and I. Savnik. Database dependency discovery: A machine learning approach. AI Commun., 12(3):139-160, 1999.
    • (1999) AI Commun. , vol.12 , Issue.3 , pp. 139-160
    • Flach, P.A.1    Savnik, I.2
  • 26
    • 66149179260 scopus 로고    scopus 로고
    • On the expressive power of the relational algebra on finite sets of relation pairs
    • G. H. L. Fletcher, M. Gyssens, J. Paredaens, and D. V. Gucht. On the expressive power of the relational algebra on finite sets of relation pairs. IEEE Trans. Knowl. Data Eng., 21(6):939-942, 2009.
    • (2009) IEEE Trans. Knowl. Data Eng. , vol.21 , Issue.6 , pp. 939-942
    • Fletcher, G.H.L.1    Gyssens, M.2    Paredaens, J.3    Gucht, D.V.4
  • 27
    • 76849098574 scopus 로고    scopus 로고
    • Schema mapping discovery from data instances
    • G. Gottlob and P. Senellart. Schema mapping discovery from data instances. J. ACM, 57(2), 2010.
    • (2010) J. ACM , vol.57 , Issue.2
    • Gottlob, G.1    Senellart, P.2
  • 29
    • 29844438087 scopus 로고    scopus 로고
    • Clio grows up: From research prototype to industrial tool
    • L. M. Haas, M. A. Hernández, H. Ho, L. Popa, and M. Roth. Clio Grows Up: From Research Prototype to Industrial Tool. In SIGMOD, pages 805-810, 2005.
    • (2005) SIGMOD , pp. 805-810
    • Haas, L.M.1    Hernández, M.A.2    Ho, H.3    Popa, L.4    Roth, M.5
  • 30
    • 2542455833 scopus 로고
    • Learning conjunctive concepts in structural domains
    • D. Haussler. Learning conjunctive concepts in structural domains. Mach. Learn., 4:7-40, 1989.
    • (1989) Mach. Learn. , vol.4 , pp. 7-40
    • Haussler, D.1
  • 32
    • 26844452957 scopus 로고    scopus 로고
    • On the hardness of learning acyclic conjunctive queries
    • K. Hirata. On the hardness of learning acyclic conjunctive queries. In ALT, pages 238-251, 2000.
    • (2000) ALT , pp. 238-251
    • Hirata, K.1
  • 33
    • 0028324717 scopus 로고
    • Cryptographic limitations on learning Boolean formulae and finite automata
    • M. J. Kearns and L. G. Valiant. Cryptographic limitations on learning boolean formulae and finite automata. J. ACM, 41(1):67-95, 1994.
    • (1994) J. ACM , vol.41 , Issue.1 , pp. 67-95
    • Kearns, M.J.1    Valiant, L.G.2
  • 36
    • 0034295721 scopus 로고    scopus 로고
    • Conjunctive-query containment and constraint satisfaction
    • P. G. Kolaitis and M. Y. Vardi. Conjunctive-query containment and constraint satisfaction. J. Comput. Syst. Sci., pages 302-332, 2000.
    • (2000) J. Comput. Syst. Sci. , pp. 302-332
    • Kolaitis, P.G.1    Vardi, M.Y.2
  • 38
    • 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. VLDB J., 10(4):334-350, 2001.
    • (2001) VLDB J. , vol.10 , Issue.4 , pp. 334-350
    • Rahm, E.1    Bernstein, P.A.2
  • 39
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R. E. Schapire. The strength of weak learnability. Machine Learning, 5:197-227, 1990.
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • Schapire, R.E.1
  • 40
    • 79959963469 scopus 로고    scopus 로고
    • Database constraints and homomorphism dualities
    • B. ten Cate, P. G. Kolaitis, and W. C. Tan. Database constraints and homomorphism dualities. In CP, 2010.
    • (2010) CP
    • Ten Cate, B.1    Kolaitis, P.G.2    Tan, W.C.3
  • 41
    • 0021518106 scopus 로고
    • A theory of the learnable
    • L. G. Valiant. A theory of the learnable. Commun. ACM, 27(11):1134-1142, 1984.
    • (1984) Commun. ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant, L.G.1
  • 42
    • 0002202594 scopus 로고
    • Learning disjunctions of conjunctions
    • L. G. Valiant. Learning disjunctions of conjunctions. In IJCAI, pages 560-566, 1985.
    • (1985) IJCAI , pp. 560-566
    • Valiant, L.G.1
  • 43
    • 0034823617 scopus 로고    scopus 로고
    • Data-driven understanding and refinement of schema mappings
    • L. Yan, R. J. Miller, L. M. Haas, and R. Fagin. Data-Driven Understanding and Refinement of Schema Mappings. In SIGMOD, pages 485-496, 2001.
    • (2001) SIGMOD , pp. 485-496
    • Yan, L.1    Miller, R.J.2    Haas, L.M.3    Fagin, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.