Multidimensional semistructured data: Representing context-dependent information on the web

22Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, we address a problem common in the frame of WWW, namely, representing information that assumes different facets under different contexts (sets of worlds). For expressing context-dependent (or multidimensional) data, we introduce Multidimensional Semistructured Data, where context is defined through (dimension, value) pairs. An extension of OEM called Multidimensional Object Exchange Model (MOEM) is introduced, for representing multidimensional data. We discuss the properties of MOEM and define a transformation that, for any given world, reduces MOEM to a conventional OEM holding under that world. As a case study, we show how MOEM can be used to represent changes over time in an OEM database.

References Powered by Scopus

The Lorel query language for semistructured data

642Citations
N/AReaders
Get full text

The TSIMMIS Approach to Mediation: Data Models and Languages

508Citations
N/AReaders
Get full text

UnQL: A query language and algebra for semistructured data based on structural recursion

171Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Managing contextual preferences

37Citations
N/AReaders
Get full text

Fast contextual preference scoring of database tuples

35Citations
N/AReaders
Get full text

Multidimensional RDF

17Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Stavrakas, Y., & Gergatsoulis, M. (2002). Multidimensional semistructured data: Representing context-dependent information on the web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2348, pp. 183–199). Springer Verlag. https://doi.org/10.1007/3-540-47961-9_15

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 4

67%

Professor / Associate Prof. 1

17%

Researcher 1

17%

Readers' Discipline

Tooltip

Computer Science 6

100%

Save time finding and organizing research with Mendeley

Sign up for free