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Record W2098375495 · doi:10.1109/icsssm.2007.4280189

A High Performance Architecture for Web Service Systems in XML

2007· article· en· W2098375495 on OpenAlex
Fangju Wang

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
TopicAdvanced Database Systems and Queries
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsComputer scienceWeb serviceXMLThe InternetWorld Wide WebEfficient XML InterchangeSOAPWS-PolicyDatabaseWeb developmentWeb application security

Abstract

fetched live from OpenAlex

With the fast development of computer communication and especially the Internet and Web technology, more and more service activities have been conducted on the Internet. An important quality criterion for Internet-based services is performance, usually measured by response time. Performance has been a key to provide satisfactory services to end customers and to survive in severe competition. In our research, we develop a new data structure for XML, which is becoming the dominating language in developing Internet and Web information systems, including service systems. The new data structure can be used to build XML systems. This data structure is based on the "sibling-first" concept we proposed. It is aimed at achieving good performance when search-by-path is conducted in large XML documents. Experimental results and comparison show that a system on this data structure out-performs the existing systems.

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: Methods · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.366

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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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