MétaCan
Menu
Back to cohort
Record W1503483059

Formal aspects of querying RDF databases

2003· article· en· W1503483059 on OpenAlex
Claudio Gutiérrez, Carlos Hurtado, Alberto O. Mendelzon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSemantic Web and Ontologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceRDFRDF query languageRDF/XMLReification (Marxism)Query languageBlankInformation retrievalSPARQLDatabaseQuery optimizationRedundancy (engineering)Formal grammarMaterialized viewProgramming languageViewWeb query classificationWeb search queryDatabase designSemantic WebNatural language processingSearch engine
DOInot available

Abstract

fetched live from OpenAlex

We study formal aspects of querying databases containing RDF data. We present a formal definition of a query language for RDF and compare it with other proposals. Our language is intended to make it easy to formalize and prove results about its properties. We study novel features of query languages derived from the presence of blank nodes and reification. Finally we provide complexity results for query processing, static optimization of queries, and redundancy elimination in answers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score0.144

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.272
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations23
Published2003
Admission routes1
Has abstractyes

Explore more

Same topicSemantic Web and OntologiesFrench-language works237,207