The GMD Data Model and Algebra for Multidimensional Information

In this paper we introduce GMD, an abstract but rich data model for representing multidimensional information, equipped with logicbased semantics and seamlessly integrated with a fully compositional algebra also equipped with logic-based semantics. The aim of this work is to propose an homogeneous approach to formally represent all the aspects of multidimensional data, as proposed by the various data models presented in the literature.

• Type: Conference
• Year: 2004
• Where: CAISE
• Authors: Enrico Franconi, Anand Kamble
• Keywords: CAISE 2004, Data Models, Logic-based Semantics, Rich Data Model