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Record W7099791149

INCREASING INTEROPERABILITY WITH CEONET TECHNOLOGY USING WSDL AND

2011· article· en· W7099791149 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicGlobalization, Historical Perspectives, and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsWS-I Basic ProfileWeb serviceSOAPInteroperabilityDevices Profile for Web ServicesWeb Coverage ServiceWeb modelingWS-PolicyWeb standards
DOInot available

Abstract

fetched live from OpenAlex

The future World Wide Web will be composed of interoperable, distributed software components called Web Services. These services will be capable of automatically discovering and invoking one another, allowing complex applications to be created from collections of interacting Web Services. Two new Web technologies that help make this possible are Web Services Description Language (WSDL) and the Simple Object Access Protocol (SOAP). A network of interoperable Web Services that dynamically interact with one another to perform a host of geoprocessing activities will likely form the technological building blocks enabling the next generation of Spatial Data Infrastructures. Although CEONet Technology already provides programmatic access to its services, this access is based on a mix of proprietary and standard mechanisms. Recasting CEONet Technology and its partners as a collection of Web Services that use WSDL and SOAP would increase interoperability in the Canadian Geospatial Data Infrastructure while reducing dependencies on proprietary technology. This paper describes WSDL and SOAP and how they can be used to transform CEONet Technology from a web application to a collection of standards-based, interoperable Web Services. 1.

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.

How this classification was reachedexpand

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.994

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 communication0.0000.000
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 head0.058
GPT teacher head0.298
Teacher spread0.241 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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