Pith. Sign in

RECORD

Alg\`ebre OLAP et langage graphique

PaperPDF from arXiv

data files

Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
X Bluesky LinkedIn Reddit Hacker News
Franck Ravat (IRIT), Olivier Teste (IRIT), Gilles Zurfluh (IRIT)

Databases · Submitted 3 May 2010

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim This language facilitates analyses of decision makers.

how it is stated · asserted 1.00 read the record →

Comment (0) Read on arXiv ↗
Cite ▾
arXiv ID1005.0213 (version 1)
Pith IDOQQXSWC3, Pith's permanent record of this paper and its review
CitationFranck Ravat (IRIT), Gilles Zurfluh (IRIT), Olivier Teste (IRIT). "Alg\`ebre OLAP et langage graphique." arXiv:1005.0213 (2010). https://pith.science/paper/OQQXSWC3
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,272 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.05 · human participants 0.05 · controlled comparison 0.01 · randomized assignment 0.01 · states quantitative result 0.02 · compares with prior results 0.04 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

This article deals with OLAP systems based on multidimensional model. The conceptual model we provide, represents data through a constellation (multi-facts) composed of several multi-hierarchy dimensions. In this model, data are displayed through multidimensional tables. We define a query algebra handling these tables. This user oriented algebra is composed of a closure core of OLAP operators as soon as advanced operators dedicated to complex analysis. Finally, we specify a graphical OLAP language based on this algebra. This language facilitates analyses of decision makers.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 This article deals with OLAP systems based on multidimensional model. background 0.87 0.23 0.04 asserted 0.96
s1 The conceptual model we provide, represents data through a constellation (multi-facts) composed of several multi-hierarchy dimensions. method 0.63 0.83 0.06 asserted 1.00
s2 In this model, data are displayed through multidimensional tables. method 0.88 0.46 0.04 asserted 1.00
s3 We define a query algebra handling these tables. contribution 0.80 0.92 0.07 asserted 1.00
s4 This user oriented algebra is composed of a closure core of OLAP operators as soon as advanced operators dedicated to complex analysis. contribution 0.57 0.84 0.12 asserted 1.00
s5 Finally, we specify a graphical OLAP language based on this algebra. contribution 0.92 0.91 0.16 asserted 1.00
s6 This language facilitates analyses of decision makers. interpretation 0.90 0.40 0.27 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from argument 0.64.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

This article deals with OLAP systems based on multidimensional model. The conceptual model we provide, represents data through a constellation (multi-facts) composed of several multi-hierarchy dimensions. In this model, data are displayed through multidimensional tables. We define a query algebra handling these tables. This user oriented algebra is composed of a closure core of OLAP operators as soon as advanced operators dedicated to complex analysis. Finally, we specify a graphical OLAP language based on this algebra. This language facilitates analyses of decision makers.

Human review

How Pith checks papers → · Full audit of this paper →

Discussion

Know something about this paper? Leave a comment, or highlight any passage above to comment on it.