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Schema matching bibliography

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  • [Agr90]{agresti90} A. Agresti. {\em Categorical Data Analysis}. Wiley, New York, NY, 1990.
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J. Biskup and B. Convent. A formal view integration method. In {\em Proceedings of the ACM Conf. on Management of Data (SIGMOD)},

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S. Bergamaschi, S. Castano, M. Vincini, and D. Beneventano. Semantic integration of heterogeneous information sources. {\em Data and Knowledge Engineering}, 36(3):215--249, 2001.

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P. Bernstein. Applying model management to classical meta data problems. In {\em Proceedings of the Conf. on Innovative Database Research

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D. Brickley and R. Guha. Resource description framework schema specification 1.0, 2000.

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P. Bernstein, A. Halevy, and R. Pottinger. A vision for management of complex models. {\em ACM SIGMOD Record}, 29(4):55--63, 200.

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J. Broekstra, M. Klein, S. Decker, D. Fensel, F. van Harmelen, and I. Horrocks. Enabling knowledge representation on the {W}eb by extending {RDF}

 schema.

In {\em Proceedings of the Tenth Int. World Wide Web Conference},

 2001.
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T. Berners-Lee, J. Hendler, and O. Lassila. The {S}emantic {W}eb. {\em Scientific American}, 279, 2001.

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C. Batini, M. Lenzerini, and SB. Navathe. A comparative analysis of methodologies for database schema

 integration.

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J. Berlin and A. Motro. Autoplex: {A}utomated discovery of content for virtual databases. In {\em Proceedings of the Conf. on Cooperative Information Systems

 (CoopIS)}, 2001.
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J. Berlin and A. Motro. Database schema matching using machine learning with feature

 selection.

In {\em Proceedings of the Conf. on Advanced Information Systems

 Engineering (CAiSE)}, 2002.
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S. Castano and V. De Antonellis. A schema analysis and reconciliation tool environment. In {\em Proceedings of the Int. Database Engineering and Applications

 Symposium (IDEAS)}, 1999.
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S. Chakrabarti, B. Dom, and P. Indyk. Enhanced hypertext categorization using hyperlinks. In {\em Proceedings of the ACM SIGMOD Conference}, 1998.

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D. Calvanese, D. G. Giuseppe, and M. Lenzerini. Ontology of integration and integration of ontologies. In {\em Proceedings of the 2001 Description Logic Workshop (DL

 2001)}, 2001.
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W. Cohen and H. Hirsh. Joins that generalize: Text classification using {WHIRL}. In {\em Proc. of the Fourth Int. Conf. on Knowledge Discovery and

 Data Mining (KDD)}, 1998.
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H. Chalupsky. Ontomorph: A translation system for symbolic knowledge. In {\em Principles of Knowledge Representation and Reasoning}, 2000.

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C. Clifton, E. Housman, and A. Rosenthal. Experience with a combined approach to attribute-matching across

 heterogeneous databases.

In {\em Proc. of the IFIP Working Conference on Data Semantics

 (DS-7)}, 1997.
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Donald D. Chamberlin, Jonathan Robie, and Daniela Florescu. Quilt: An {XML} query language for heterogeneous data sources. In {\em WebDB (Informal Proceedings) 2000}, pages 53--62, 2000.

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T. M. Cover and J. A. Thomas. {\em Elements of Information Theory}. Wiley, New York, NY, 1991.

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www.daml.org.

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A. Doan, P. Domingos, and A. Halevy. Reconciling schemas of disparate data sources: A machine learning

 approach.

In {\em Proceedings of the ACM SIGMOD Conference}, 2001.

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A. Doan, P. Domingos, and A. Halevy. Learning to match the database schemas: A multistrategy approach. {\em Machine Learning}, 2003. Special Issue on Multistrategy Learning. To Appear.

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A. Deutsch, M. Fernandez, D. Florescu, A. Levy, and D. Suciu. A query language for {XML}. In {\em Proceedings of the International Word Wide Web Conference,

 Toronto, CA}, 1999.
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R. O. Duda and P. E. Hart. {\em Pattern Classification and Scene Analysis}. John Wiley and Sons, New York, 1974.

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T. Dasu, T. Johnson, S. Muthukrishnan, and V. Shkapenyuk. Mining database structure; or, how to build a data quality browser. In {\em Proceedings of the ACM Conf. on Management of Data (SIGMOD)},

 2002.
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A. Doan, J. Madhavan, P. Domingos, and A. Halevy. Learning to map ontologies on the {S}emantic {W}eb. In {\em Proceedings of the World-Wide Web Conference (WWW-02)}, 2002.

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H. Do, S. Melnik, and E. Rahm. Comparison of schema matching evaluations. In {\em Proceedings of the 2nd Int. Workshop on Web Databases (German

 Informatics Society)}, 2002.
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P. Domingos and M. Pazzani. On the optimality of the simple bayesian classifier under zero-one

 loss.

{\em Machine Learning}, 29:103--130, 1997.

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S. Donoho and L. Rendell. Constructive induction using fragmentary knowledge. In {\em Proc. of the 13th Int. Conf. on Machine Learning}, pages

 113--121, 1996.
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H. Do and E. Rahm. Coma: A system for flexible combination of schema matching

 approaches.

In {\em Proceedings of the 28th Conf. on Very Large Databases

 (VLDB)}, 2002.
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D. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery

 in information integration.

In {\em Proceedings of the WIIW Workshop}, 2001.

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AK. Elmagarmid and C. Pu. Guest editors' introduction to the special issue on heterogeneous

 databases.

{\em ACM Computing Survey}, 22(3):175--178, 1990.

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D. Fensel. {\em Ontologies: {S}ilver {B}ullet for {K}nowledge {M}anagement and

 {E}lectronic {C}ommerce}.

Springer-Verlag, 2001.

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Dayne Freitag. Machine learning for information extraction in informal domains. {\em Ph.D. Thesis}, 1998. Dept. of Computer Science, Carnegie Mellon University.

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M. Friedman and D. Weld. Efficiently executing information-gathering plans. In {\em Proc. of the Int. Joint Conf. of AI (IJCAI)}, 1997.

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H. Garcia-Molina, Y. Papakonstantinou, D. Quass, A. Rajaraman, Y. Sagiv,

 J. Ullman, and J. Widom.

The {TSIMMIS} project: Integration of heterogeneous information

 sources.

{\em Journal of Intelligent Inf. Systems}, 8(2), 1997.

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J. Hammer, H. Garcia-Molina, S. Nestorov, R. Yerneni, M. Breunig, and

 V. Vassalos.

Template-based wrappers in the {TSIMMIS} system (system

 demonstration).

In {\em ACM Sigmod Record}, Tucson, Arizona, 1998.

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J. Heflin and J. Hendler. A portrait of the {S}emantic {W}eb in action. {\em IEEE Intelligent Systems}, 16(2), 2001.

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P. Hart, N. Nilsson, and B. Raphael. Correction to ``a formal basis for the heuristic determination of

 minimum cost paths.

{\em SIGART Newsletter}, 37:28--29, 1972.

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R.A. Hummel and S.W. Zucker. On the foundations of relaxation labeling processes. {\em PAMI}, 5(3):267--287, May 1983.

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{\em IEEE Intelligent Systems}, 16(2), 2001.

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Z. Ives, D. Florescu, M. Friedman, A. Levy, and D. Weld. An adaptive query execution system for data integration. In {\em Proc. of SIGMOD}, 1999.

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Z. Ives, A. Levy, J. Madhavan, R. Pottinger, S. Saroiu, I. Tatarinov,

 S. Betzler, Q. Chen, E. Jaslikowska, J. Su, and W. Yeung.

Self-organizing data sharing communities with sagres. In {\em Proceedings of the 2000 ACM SIGMOD International Conference

 on Management of Data}, page 582, 2000.
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C. Knoblock, S. Minton, J. Ambite, N. Ashish, P. Modi, I. Muslea, A. Philpot,

 and S. Tejada.

Modeling web sources for information integration. In {\em Proc. of the National Conference on Artificial Intelligence

 (AAAI)}, 1998.
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G. Keim, N. Shazeer, M. Littman, S. Agarwal, C. Cheves, J. Fitzgerald,

 J. Grosland, F. Jiang, S. Pollard, and K. Weinmeister.

{PROVERB}: The probabilistic cruciverbalist. In {\em Proc. of the 6th National Conf. on Artificial Intelligence

 ({AAAI}-99)}, pages 710--717, 1999.
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N. Kushmerick. Wrapper induction: Efficiency and expressiveness. {\em Artificial Intelligence}, 118(1--2):15--68, 2000.

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N. Kushmerick. Wrapper verification. {\em World Wide Web Journal}, 3(2):79--94, 2000.

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W. Li and C. Clifton. Semantic integration in heterogeneous databases using neural

 networks.

In {\em Proceedings of the Conf. on Very Large Databases (VLDB)},

 1994.
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W. Li and C. Clifton. {SEMINT}: A tool for identifying attribute correspondence in

 heterogeneous databases using neural networks.

{\em Data and Knowledge Engineering}, 33:49--84, 2000.

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W. Li, C. Clifton, and S. Liu. Database integration using neural network: implementation and

 experience.

{\em Knowledge and Information Systems}, 2(1):73--96, 2000.

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M. Lacher and G. Groh. Facilitating the exchange of explixit knowledge through ontology

 mappings.

In {\em Proceedings of the 14th Int. FLAIRS conference}, 2001.

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D. Lin. An information-theoretic definition of similarity. In {\em Proceedings of the International Conference on Machine

 Learning (ICML)}, 1998.
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E. Lambrecht, S. Kambhampati, and S. Gnanaprakasam. Optimizing recursive information gathering plans. In {\em Proc. of the Int. Joint Conf. on AI (IJCAI)}, 1999.

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S. Lloyd. An optimization approach to relaxation labeling algorithms. {\em Image and Vision Computing}, 1(2), 1983.

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A. Y. Levy, A. Rajaraman, and J. Ordille. Querying heterogeneous information sources using source descriptions. In {\em Proc. of {VLDB}}, 1996.

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J. Madhavan, P.A. Bernstein, and E. Rahm. Generic schema matching with {C}upid. In {\em Proceedings of the International Conference on Very Large

 Databases (VLDB)}, 2001.
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D. McGuinness, R. Fikes, J. Rice, and S. Wilder. The {C}himaera ontology environment. In {\em Proceedings of the 17th National Conference on Artificial

 Intelligence}, 2000.
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J. Madhavan, A. Halevy, P. Domingos, and P. Bernstein. Representing and reasoning about mappings between domain models. In {\em Proceedings of the National AI Conference (AAAI-02)}, 2002.

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R. Miller, L. Haas, and M. Hernandez. Schema mapping as query discovery. In {\em Proc. of {VLDB}}, 2000.

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P. Mork, A. Halevy, and P. Tarczy-Hornoch. A model of data integration system of biomedical data applied to

 online genetic databases.

In {\em Proceedings of the Symposium of the American Medical

 Informatics Association}, 2001.
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S. Melnik, H. Molina-Garcia, and E. Rahm. Similarity flooding: a versatile graph matching algorithm. In {\em Proceedings of the International Conference on Data

 Engineering (ICDE)}, 2002.
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A. McCallum and K. Nigam. A comparison of event models for {N}aive {B}ayes text classification. In {\em Proceedings of the AAAI-98 Workshop on Learning for Text

 Categorization}, 1998.
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C. Manning and H. Sch{\"{u}}tze. {\em Foundations of Statistical Natural Language Processing}, pages

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The MIT Press, Cambridge, US, 1999.

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A. Maedche and S. Saab. Ontology learning for the {S}emantic {W}eb. {\em IEEE Intelligent Systems}, 16(2), 2001.

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R. Michalski and G. Tecuci, editors. {\em Machine Learning: A Multistrategy Approach}. Morgan Kaufmann, 1994.

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P. Mitra, G. Wiederhold, and J. Jannink. Semi-automatic integration of knowledge sources. In {\em Proceedings of Fusion'99}.

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T. Milo and S. Zohar. Using schema matching to simplify heterogeneous data translation. In {\em Proceedings of the International Conference on Very Large

 Databases (VLDB)}, 1998.
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F. Neumann, CT. Ho, X. Tian, L. Haas, and N. Meggido. Attribute classification using feature analysis. In {\em Proceedings of the Int. Conf. on Data Engineering (ICDE)},

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N.F. Noy and M.A. Musen. {PROMPT}: Algorithm and tool for automated ontology merging and

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N.F. Noy and M.A. Musen. Anchor-{PROMPT}: Using non-local context for semantic {M}atching. In {\em Proceedings of the Workshop on Ontologies and Information

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NF. Noy and MA. Musen. Prompt{D}iff: A fixed-point algorithm for comparing ontology

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In {\em Proceedings of the Nat. Conf. on Artificial Intelligence

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B. Omelayenko. Learning of ontologies for the {W}eb: the analysis of existent

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L. Padro. A hybrid environment for syntax-semantic tagging, 1998.

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R. Pottinger and P. Bernstein. Creating a mediated schema based on initial correspondences. {\em IEEE Data Engineering Bulletin}, 25(3), 2002.

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M. Perkowitz and O. Etzioni. Category translation: Learning to understand information on the

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V. Punyakanok and D. Roth. The use of classifiers in sequential inference. In {\em Proceedings of the Conference on Neural Information

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C. Parent and S. Spaccapietra. Issues and approaches of database integration. {\em Communications of the ACM}, 41(5):166--178, 1998.

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L. Palopoli, D. Sacca, G. Terracina, and D. Ursino. A unififed graph-based framework for deriving nominal interscheme

 properties, type conflicts, and object cluster similarities.

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L. Palopoli, D. Sacca, and D. Ursino. Semi-automatic, semantic discovery of properties from database

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L. Palopoli, G. Terracina, and D. Ursino. The system {DIKE}: towards the semi-automatic synthesis of

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E. Rahm and P.A. Bernstein. On matching schemas automatically. {\em VLDB Journal}, 10(4), 2001.

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E. Rahm and H. Do. Data cleaning: Problems and current approaches. {\em IEEE Data Engineering Bulletin}, 2000.

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I. Ryutaro, T. Hideaki, and H. Shinichi. Rule induction for concept hierarchy alignment. In {\em Proceedings of the 2nd Workshop on Ontology Learning at the

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X{Q}uery: {A}n {XML} query language. http://www.w3.org/TR/xquery.

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L.L. Yan, R.J. Miller, L.M. Haas, and R. Fagin. Data driven understanding and refinement of schema mappings. In {\em Proceedings of the ACM SIGMOD}, 2001.

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