Specifying temporal data models for semistructured data by a constraint-based approach

  • Authors:
  • Carlo Combi;Barbara Oliboni;Elisa Quintarelli

  • Affiliations:
  • Università degli studi di Verona, Ca' Vignal 2, Verona, Italy;Università degli studi di Verona, Ca' Vignal 2, Verona, Italy;Politecnico di Milano, Milano, Italy

  • Venue:
  • Proceedings of the 2004 ACM symposium on Applied computing
  • Year:
  • 2004

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Abstract

In the past few years some models for semistructured temporal data, which propose different strategies to deal with temporal dimensions, have been defined. In this paper we analyze these models by applying the recently proposed meta-model GSMM (General Semistructured Meta-Model) for semistructured information. GSMM allows us to represent semistructured temporal data models with a unifying formalism; constraints that are specified in these models are also represented and classified on the basis of their expressiveness.