Fandom

Scratchpad

Schema matching bibliography

219,289pages on
this wiki
Add New Page
Discuss this page1 Share
  • [Agr90]{agresti90} A. Agresti. {\em Categorical Data Analysis}. Wiley, New York, NY, 1990.
  • [AK97]{ashish97} N. Ashish and C. Knoblock. Wrapper generation for semi-structured internet sources. {\em SIGMOD Record}, 26(4):8--15, 1997.
    • [BC86]{biskup86}

J. Biskup and B. Convent. A formal view integration method. In {\em Proceedings of the ACM Conf. on Management of Data (SIGMOD)},

 1986.
    • [BCVB01]{momis}

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.

    • [Ber03]{bernstein-cidr03}

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

 (CIDR)}, 2003.
    • [BG00]{rdf}

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

    • [BHP00]{phil-vision-paper}

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

    • [BKD{\etalchar{+}}01]{fensel01}

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.
    • [BLHL01]{berners-lee}

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

    • [BLN86]{bln86}

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

 integration.

{\em ACM Computing Survey}, 18(4):323--364, 1986.

    • [BM01]{autoplex}

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.
    • [BM02]{automatch}

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.
    • [CA99]{artemis}

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.
    • [CDI98]{hypertext}

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

    • [CGL01]{calvanese}

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.
    • [CH98]{cohen-kdd98}

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.
    • [Cha00]{ontomorph}

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

    • [CHR97]{clifton97}

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.
    • [CRF00]{quilt}

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.

    • [CT91]{coverthomas}

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

    • [dam]{daml}

www.daml.org.

    • [DDH01]{lsd}

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.

    • [DDH03]{lsd-mlj}

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.

    • [DFF{\etalchar{+}}99]{xmlql}

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.
    • [DH74]{dudahart}

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

    • [DJMS02]{bellman-system}

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.
    • [DMDH02]{glue}

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.

    • [DMR02]{erhard-eval}

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.
    • [DP97]{domingos&pazzani97}

P. Domingos and M. Pazzani. On the optimality of the simple bayesian classifier under zero-one

 loss.

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

    • [DR96]{donoho96}

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.
    • [DR02]{coma}

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.
    • [EJX01]{embley01}

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.

    • [EP90]{ep90}

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

 databases.

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

    • [Fen01]{fensel-book01}

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

 {E}lectronic {C}ommerce}.

Springer-Verlag, 2001.

    • [Fre98]{freitag-thesis}

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

    • [FW97]{friedman-ijcai97}

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

    • [GMPQ{\etalchar{+}}97]{tsimmis97}

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.

    • [HGMN{\etalchar{+}}98]{hammer97}

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.

    • [HH01]{shoe}

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

    • [HNR72]{hart72}

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.

    • [HZ83]{rlvision}

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

    • [iee01]{ieee}

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

    • [IFF{\etalchar{+}}99]{tukwila}

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.

    • [ILM{\etalchar{+}}00]{sagres}

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.
    • [KMA{\etalchar{+}}98]{ariadne}

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.
    • [KSL{\etalchar{+}}99]{proverb}

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.
    • [Kus00a]{kushmerick2000}

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

    • [Kus00b]{kushmerickwrapper}

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

    • [LC94]{semint-vldb}

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.
    • [LC00]{semint00}

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.

    • [LCL00]{semint-journal}

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.

    • [LG01]{lacher}

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

 mappings.

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

    • [Lin98]{infosim}

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

 Learning (ICML)}, 1998.
    • [LKG99]{emerac}

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

    • [Llo83]{lloyd83}

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

    • [LRO96]{levy-im2-96}

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

    • [MBR01]{cupid}

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.
    • [MFRW00]{chimaera}

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.
    • [MHDB02]{madhavan-aaai02}

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.

    • [MHH00]{miller00}

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

    • [MHTH01]{peter-mork-paper}

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.
    • [MMGR02]{simflood}

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.
    • [MN98]{mccallum-twoevents}

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.
    • [MS99]{manning99}

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

 575--608.

The MIT Press, Cambridge, US, 1999.

    • [MS01]{onto-learn}

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

    • [MT94]{michalski&tecuci94}

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

    • [MWJ]{skat}

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

    • [MZ98]{transcm}

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.
    • [NHT{\etalchar{+}}02]{howard}

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)},

 2002.
    • [NM00]{prompt-noy}

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

 alignment.

In {\em Proceedings of the National Conference on Artificial

 Intelligence (AAAI)}, 2000.
    • [NM01]{anchor-prompt}

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

 Sharing at the International Joint Conference on Artificial Intelligence
 (IJCAI)}, 2001.
    • [NM02]{noy-aaai02}

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

 versions.

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

 (AAAI)}, 2002.
    • [Ome01]{borys}

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

 approaches.

In {\em Proceedings of the International Workshop on Web Dynamics},

 2001.
    • [ont]{ontobroker}

http://ontobroker.semanticweb.org.

    • [Pad98]{padro-hybrid}

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

    • [PB02]{pottinger02}

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

    • [PE95]{perkowitz&etzioni95}

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

 {I}nternet.

In {\em Proc. of Int. Joint Conf. on AI (IJCAI)}, 1995.

    • [PR00]{roth-nips00}

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

 Processing Systems (NIPS-00)}, 2000.
    • [PS98]{ps98}

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

    • [PSTU99]{pstu99}

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.

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

 (CoopIS)}, 1999.
    • [PSU98]{palopoli98}

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

 schemes.

In {\em Proc. of the Int. Database Engineering and Applications

 Symposium (IDEAS-98)}, pages 244--253, 1998.
    • [PTU00]{ptu00}

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

 cooperative information systems and data warehouses.

In {\em Proceedings of the {ADBIS}-{DASFAA} Conf.}, 2000.

    • [PVH{\etalchar{+}}02]{popa02}

L. Popa, Y. Velegrakis, M. Hernandez, R. J. Miller, and R. Fagin. Translating web data. In {\em Proceedings of the Int. Conf. on Very Large Databases

 (VLDB)}, 2002.
    • [RB01]{survey}

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

    • [RD00]{rahm-do-cleaning}

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

    • [RHS01]{hical}

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

 17th Int. Joint Conf. on AI (IJCAI)}, 2001.
    • [RMR00]{arnie-get-data}

A. Rosenthal, F. Manola, and S. Renner. Getting data to applications: Why we fail, and how we can do better. In {\em Proceedings of the AFCEA Federal Database Conference}, 2000.

    • [RRSM01]{arnie-revolution}

A. Rosenthal, S. Renner, L. Seligman, and F. Manola. Data integration needs an industrial revolution. In {\em Proceedings of the Workshop on Foundations of Data

 Integration}, 2001.
    • [RS01]{arnie-scalability}

A. Rosenthal and L. Seligman. Scalability issues in data integration. In {\em Proceedings of the AFCEA Federal Database Conference}, 2001.

    • [SL90]{sl90}

AP. Seth and JA. Larson. Federated database systems for managing distributed, heterogeneous,

 and autonomous databases.

{\em ACM Computing Survey}, 22(3):183--236, 1990.

    • [SR01]{arnie-impact}

L. Seligman and A. Rosenthal. The impact of xml in databases and data sharing. {\em IEEE Computer}, 2001.

    • [SRLS02]{arnie-time}

L. Seligman, A. Rosenthal, P. Lehner, and A. Smith. Data integration: Where does the time go? {\em IEEE Data Engineering Bulletin}, 2002.

    • [TD97]{lagrame}

L. Todorovski and S. Dzeroski. Declarative bias in equation discovery. In {\em Proceedings of the Int. Conf. on Machine Learning (ICML)},

 1997.
    • [TW99]{ting&witten99}

K. M. Ting and I. H. Witten. Issues in stacked generalization. {\em Journal of Artificial Intelligence Research}, 10:271--289, 1999.

    • [{UDB}]{bio:udb}

{UDB}: {T}he unified database for human genome computing. http://bioinformatics.weizmann.ac.il/udb.

    • [vR79]{ir-book}

van Rijsbergen. {\em Information {R}etrieval}. London:Butterworths, 1979. Second Edition.

    • [Wol92]{wolpert92}

D. Wolpert. Stacked generalization. {\em Neural Networks}, 5:241--259, 1992.

    • [Wor]{wordnet}

Wordnet: {A} lexical database for the {E}nglish language. http://www.cogsci.princeton.edu/ wn.

    • [XML98]{xml}

Extensible markup language ({XML}) 1.0. www.w3.org/TR/1998/REC-xml-19980210, 1998. W3C Recommendation.

    • [Xqu]{xquery}

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

    • [XSL99]{xslt}

{XSL} {T}ransformations ({XSLT}), version 1.0. http://www.w3.org/TR/xslt, 13 August 1999. W3C Working Draft.

    • [YMHF01]{clio}

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.

    • [YS00]{yi00}

J. Yi and N. Sundaresan. A classifier for semi-structured documents. In {\em Proc. of the 6th Int. Conf. on Knowledge Discovery and Data

 Mining ({KDD}-2000)}, 2000.

Ad blocker interference detected!


Wikia is a free-to-use site that makes money from advertising. We have a modified experience for viewers using ad blockers

Wikia is not accessible if you’ve made further modifications. Remove the custom ad blocker rule(s) and the page will load as expected.

Also on Fandom

Random wikia