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A Graph-Based Model for Semistructured Temporal Data

  • Conference paper
On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops (OTM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2889))

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Abstract

We sketch here the semistructured temporal data model GEM (Graphical sEmistructured teMporal), which is a graph-based data model and allows one to uniformly capture different temporal aspects of semistructured data, such as valid and transaction times.

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References

  1. Chawathe, S.S., Abiteboul, S., Widom, J.: Managing historical semistructured data. Theory and Practice of Object Systems 5(3), 143–162 (1999)

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  2. Jensen, C.S., Snodgrass, R.: Temporal data management. IEEE Transactions on Knowledge and Data Engineering 11(1), 36–44 (1999)

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università degli Studi di Verona, Ca’ Vignal 2 Strada le Grazie 15, 37134, Verona, Italy

    Carlo Combi & Barbara Oliboni

  2. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133, Milano, Italy

    Elisa Quintarelli

Authors
  1. Carlo Combi
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  2. Barbara Oliboni
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  3. Elisa Quintarelli
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Editor information

Editors and Affiliations

  1. Vrije Universiteit Brussel (VUB), STARLab, Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, VIC 3001, Melbourne, Australia

    Zahir Tari

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© 2003 Springer-Verlag Berlin Heidelberg

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Combi, C., Oliboni, B., Quintarelli, E. (2003). A Graph-Based Model for Semistructured Temporal Data. In: Meersman, R., Tari, Z. (eds) On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops. OTM 2003. Lecture Notes in Computer Science, vol 2889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39962-9_10

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  • DOI: https://doi.org/10.1007/978-3-540-39962-9_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20494-7

  • Online ISBN: 978-3-540-39962-9

  • eBook Packages: Springer Book Archive

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