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Record W1494455967 · doi:10.1007/978-0-387-35602-0

Intelligent information processing : IFIP 17th World Computer Congress - TC12 stream on intelligent information processing, August 25-30, 2002, Montréal, Québec, Canada

2002· book· en· W1494455967 on OpenAlexaboutno aff
Mark A. Musen, Bernd Neumann, Rudi Studer

Bibliographic record

Venuenot available
Typebook
Languageen
FieldComputer Science
TopicSemantic Web and Ontologies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceSemantic WebOntologyArtificial intelligenceSocial Semantic WebWorld Wide WebInformation retrieval

Abstract

fetched live from OpenAlex

Foreword. Conference and Program Committees. Invited Presentations: Being Smart In Information Processing H. Akkermans. Multimodal Representations as Basis for Cognitive Architecture B. Chandrasekaran. Agent-Based Computing N.R. Jennings. Architectures and Solutions for the Knowledge We E. Motta. Semantic Web and Peer-to-Peer Technologies for Distributed Learning Repositories W. Nejdl. Paper Sessions: Ontology Management. Managing Multiple Ontologies and Ontology Evolution in Ontologging A. Maedche, B. Motik, L. Stojanovic, R. Studer, R. Volz. IKAT: A Tool for Incremental Development of Ontologies through Version M. Larranaga, J.A. Elorriaga. A Template-Based Approach Toward Acquisition of Logical Sentences C.J. Hou, N.F. Noy, M.A. Musen. Semantic Web Architecture. Configuring Online Problem-Solving Resources with the Internet Reasoning Service M. Crubezy, W. Lu, E. Motta, M.A. Musen. Semantic Web and Multi-Agents Approach to Corporate Memory Management F. Gandon, R. Dieng-Kuntz, O. Corby, A. Giboin. Mobile Constraints for Semantic Web Applications P. Gray, K. Hui, A. Preece. Knowledge-engineering Frameworks. A Knowledge Based Framework for The Design of Soft-Computing Systems S. Ramachandran, M. Erraguntla, P. Benjamin. A Reverse Engineering Approach for Migrating Data-intensive Web Sites to the Semantic Web N. Stojanovic, L. Stojanovic, R. Volz. Systematic Generation of Bayesian Networks from Systems Specifications M. Borth, H. von Hasseln. Knowledge-system Structure. Dynamic Choice of Agent Interaction Protocols J.-L. Koning. An Algebraic Characterization of Equivalent Bayesian Networks S.K.M. Wong, D.Wu. Estimating Knowledge Decay J. Debenham. DataMining. An Information-Theoretic Approach to the Pre-pruning of Classification Rules M. Bramer. A User-Centered Visual Approach to Data Mining: The System D2MS T.B. Ho, T.D. Nguyen, D.D. Nguyen. ONTOCOPI: Methods and Tools for Identifying Communities of Practice H. Alani, K. O'Hara, N. Shadbolt. Implementing Problem Solvers. The JESSTAB Approach to Protege and JESS Integration H. Eriksson. Implementing Constraint Solvers in B-Prolog N. Zhou. Poster Session: Application of Uncertain Variables to Decision Making in a Class of Distributed Computer Systems Z. Bubnicki. Learning Fuzzy Decision Trees from Sequential and Incomplete Data G. Chen, R. Lu, Z. Jin. Harnessing the Internet into a Knowledge Framework R. Longworth. Analogy Supports for Software Reuse and Knowledge Management C.-H. Lung, G.T. Mackulak, J.E. Urban. Knowledge Management Support for Cooperative Research J. Ma, M. Hemmje. An Extended Possibility-Based Fuzzy Nested Relational Database Model and Algebra Z.M. Ma, F. Mili. Real-Time Meeting Scheduling Model by Computer Supported Cooperative Work G. Martinovic, L. Budin. The NED IIS Project - Forest Ecosystem Management W. Potter, D. Nute, J. Wang, F. Maier, M. Twery, M. Rauscher, P. Knopp, S. Thomasma, M. Dass, H. Uchiyama. Elaboration and Exploitation of Lessons Learned H. Rakoto, P. Clermont, L. Geneste. A Hybrid Expert System Supporting Diagnosis of Heart Diseases A.-B.M. Salem, R.A. HodHod. IDSIS: Intelligent Document Semantic Indexing System Z. Shi, B. Wu, Q. He, X. Gong, S. Liu, Y. Zheng. An Application of Assembly Structure in Welding Estimate of Welding Object in Manufacturing Design Z. Zhang, I. Nagasawa, M. Mochizuki, H. Yamaguchi, M. Umeda. Author Index.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.831
Threshold uncertainty score0.386

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1150.061

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 head0.016
GPT teacher head0.215
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations2
Published2002
Admission routes1
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