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Record W2343586767 · doi:10.1016/j.jksuci.2015.12.003

Trust-based Service-Oriented Architecture

2016· article· en· W2343586767 on OpenAlexaff
Zainab M. Aljazzaf, Miriam A. M. Capretz, Mark Perry

Bibliographic record

VenueJournal of King Saud University - Computer and Information Sciences · 2016
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsWestern University
Fundersnot available
KeywordsService-oriented architectureComputer scienceArchitectureArchitectural styleTrustworthinessContext (archaeology)Web serviceComponent (thermodynamics)OASIS SOA Reference ModelService (business)Process (computing)Field (mathematics)World Wide WebSelection (genetic algorithm)Web of trustComputational trustKnowledge managementBusinessComputer securityArtificial intelligenceMarketingSociology

Abstract

fetched live from OpenAlex

Service-Oriented Architecture (SOA) is an architectural style in building Web applications based on services. In SOA, the lack of trust between different parties affects the adoption of such architecture. Because trust is an important factor in successful online interactions, it is a major criterion for service selection. In the context of online services and SOA, the literature shows that the field of trust is not mature. The definitions of trust and its essential aspects do not reflect the true nature of trust online. This paper proposes a comprehensive trust-based SOA solution based on an identified trust definition and its principles for selecting services based on their trustworthiness. In particular, SOA is extended and a new component, the trust framework, which is responsible for the trust process, is added to the architecture. Consequently, its components are identified and built. The trust-based SOA is implemented through experiments and scenarios.

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: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.872
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.005
Open science0.0010.000
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 head0.007
GPT teacher head0.191
Teacher spread0.185 · 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 designOther design
Domainnot available
GenreMethods

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

Citations22
Published2016
Admission routes1
Has abstractyes

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