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Visually integrating databases at conceptual level

Published: 27 May 2014 Publication History

Abstract

We present the Conceptual Data Integration Language (CoDIL), a visual language capable of turning the data integration process into a conceptual level activity on source data. In particular, CoDIL provides icon operators that are applicable to constructs of conceptual data models, specifying how to merge and map them onto constructs of a reconciled conceptual schema.

References

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Costagliola, G., Deufemia, V., Polese, G., Risi, M. 2004. A parsing technique for sketch recognition systems. In Proc. Int. Conf. on Visual Languages and Human-Centric Computing. VL/HCC'04. IEEE press. 19--26.
[2]
Costagliola, G., Polese. G. 2000. Extended Positional Grammars. In Proc. Int. Conf. on Visual Languages. VL'00. IEEE press. 103--110.
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Deufemia, V., Giordano, M., Polese, G., and Tortora, G. 2014. A visual language-based system for extraction--transformation--loading development. Softw. Pract. Exper. DOI= http://dx.doi.org/10.1002/spe.2201
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IBM. InfoSphere Platform. Available from: http://www-01.ibm.com/software/data/infosphere/
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Laurini, R., Paolino, L., Sebillo, M., Tortora, G., Vitiello, G. 2009. Phenomena -- A visual environment for querying heterogenous spatial data. Journal of Visual Languages and Computing. 20, 6, 420--436.
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Pentaho. Kettle. Available from: http://kettle.pentaho.org
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Rizzolo, F., Kiringa, I., Pottinger, R., Wong, K. The conceptual integration modeling framework: Abstracting from the multidimensional model. CoRR abs/1009.0255
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Vassiliadis, P., Simitsis, A., Skiadopoulos, S. Conceptual modeling for ETL processes. In Proc. of Int'l Workshop on Data Warehousing and OLAP. DOLAP'02. ACM. 14--21.

Cited By

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  • (2019)Using Ontology and Rule-Based Reasoning for Conceptual Data Models Synonyms DetectionJournal of Database Management10.4018/JDM.201901010130:1(1-21)Online publication date: Jan-2019
  • (2014)Visual data integration based on description logic reasoningProceedings of the 18th International Database Engineering & Applications Symposium10.1145/2628194.2628215(19-28)Online publication date: 7-Jul-2014
  • (2014)A Mobile Visual Technique to Support Civil Protection in Risk AnalysisProceedings of the 14th International Conference on Computational Science and Its Applications — ICCSA 2014 - Volume 858410.1007/978-3-319-09153-2_56(760-769)Online publication date: 30-Jun-2014

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Information

Published In

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AVI '14: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces
May 2014
438 pages
ISBN:9781450327756
DOI:10.1145/2598153
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

  • Centro Cultura Volta: Centro Cultura Volta
  • Politecnico di Milano: Politecnico di Milano

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2014

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Author Tags

  1. conceptual schema
  2. data reconciliation
  3. visual data integration

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  • Research-article

Conference

AVI' 14
Sponsor:
  • Centro Cultura Volta
  • Politecnico di Milano

Acceptance Rates

AVI '14 Paper Acceptance Rate 32 of 112 submissions, 29%;
Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

View all
  • (2019)Using Ontology and Rule-Based Reasoning for Conceptual Data Models Synonyms DetectionJournal of Database Management10.4018/JDM.201901010130:1(1-21)Online publication date: Jan-2019
  • (2014)Visual data integration based on description logic reasoningProceedings of the 18th International Database Engineering & Applications Symposium10.1145/2628194.2628215(19-28)Online publication date: 7-Jul-2014
  • (2014)A Mobile Visual Technique to Support Civil Protection in Risk AnalysisProceedings of the 14th International Conference on Computational Science and Its Applications — ICCSA 2014 - Volume 858410.1007/978-3-319-09153-2_56(760-769)Online publication date: 30-Jun-2014

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