The Ontological Multidimensional Data Model

TL;DR

This paper introduces the Ontological Multidimensional Data Model, extending traditional models with advanced dependencies and constraints, enhancing expressiveness and computational properties for multidimensional data analysis.

Contribution

It extends the relational multidimensional data model with tuple-generating dependencies, equality constraints, and negative constraints using Datalog+-, offering a richer framework.

Findings

Enhanced expressiveness of the data model

Good computational properties demonstrated

Illustrated mainly through examples

Abstract

In this extended abstract we describe, mainly by examples, the main elements of the Ontological Multidimensional Data Model, which considerably extends a relational reconstruction of the multidimensional data model proposed by Hurtado and Mendelzon by means of tuple-generating dependencies, equality-generating dependencies, and negative constraints as found in Datalog+-. We briefly mention some good computational properties of the model.