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2007, ISBN: 9783540897651
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2007, ISBN: 9783540897651
This book constitutes the thoroughly refereed first three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2005… mais…
Paulo Cesar G. Costa; Claudia d'Amato; Nicola Fanizzi; Kathryn B. Laskey; Kenneth J. Laskey; Matthias Nickles; Michael Pool:
Uncertainty Reasoning for the Semantic Web I - nuovo livroISBN: 9783540897651
Computer Science; Artificial Intelligence (incl. Robotics); Computer Science, general; Programming Techniques; Models and Principles; Probability and Statistics in Computer Science; Math … mais…
2007
ISBN: 9783540897651
Uncertainty Reasoning for the Semantic Web I:ISWC International Workshop, URSW 2005-2007, Revised Selected and Invited Papers Uncertainty Reasoning for the Semantic Web I:ISWC Internation… mais…
2008, ISBN: 9783540897651
ISWC International Workshop, URSW 2005-2007, Revised Selected and Invited Papers, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, 2008
Uncertainty Reasoning for the Semantic Web I : ISWC International Workshop, URSW 2005-2007, Revised Selected and Invited Papers - nuovo livro
2007, ISBN: 9783540897651
; PDF; Computing > Computer programming / software development > Web programming, Springer Berlin Heidelberg
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Dados detalhados do livro - Uncertainty Reasoning for the Semantic Web I
EAN (ISBN-13): 9783540897651
Ano de publicação: 2007
Editor/Editora: Springer Berlin Heidelberg
Livro na base de dados desde 2017-02-21T09:34:44-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-01-25T13:23:29-03:00 (Sao Paulo)
Número ISBN/EAN: 9783540897651
Número ISBN - Ortografia alternativa:
978-3-540-89765-1
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: matthias
Dados da editora
Autor: Paulo Cesar G. Costa; Claudia d'Amato; Nicola Fanizzi; Kathryn B. Laskey; Kenneth J. Laskey; Matthias Nickles; Michael Pool
Título: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Uncertainty Reasoning for the Semantic Web I - ISWC International Workshop, URSW 2005-2007, Revised Selected and Invited Papers
Editora: Springer; Springer Berlin
403 Páginas
Ano de publicação: 2008-11-30
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XIV, 403 p.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Framework; Web Services; bayesian ontology language; cognitive entropy; fuzzy description logic; fuzzy semantics; markov logic; ontologies; ontology mapping; probabilistic dialogue models; C; Artificial Intelligence; Computer Science, general; Programming Techniques; Models and Principles; Probability and Statistics in Computer Science; Math Applications in Computer Science; Artificial Intelligence; Computer Science; Programming Techniques; Models of Computation; Probability and Statistics in Computer Science; Mathematical Applications in Computer Science; Computer Science; Informatik; Computerprogrammierung und Softwareentwicklung; Theoretische Informatik; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; BC
Probabilistic and Dempster-Shafer Models.- Just Add Weights: Markov Logic for the Semantic Web.- Semantic Science: Ontologies, Data and Probabilistic Theories.- Probabilistic Dialogue Models for Dynamic Ontology Mapping.- An Approach to Probabilistic Data Integration for the Semantic Web.- Rule-Based Approaches for Representing Probabilistic Ontology Mappings.- PR-OWL: A Bayesian Ontology Language for the Semantic Web.- Discovery and Uncertainty in Semantic Web Services.- An Approach to Description Logic with Support for Propositional Attitudes and Belief Fusion.- Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies.- An Ontology-Based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines.- Fuzzy and Possibilistic Models.- A Crisp Representation for Fuzzy with Fuzzy Nominals and General Concept Inclusions.- Optimizing the Crisp Representation of the Fuzzy Description Logic .- Uncertainty Issues and Algorithms in Automating Process Connecting Web and User.- Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approach.- A Fuzzy Semantics for the Resource Description Framework.- Reasoning with the Fuzzy Description Logic f- : Theory, Practice and Applications.- Inductive Reasoning and Machine Learning.- Towards Machine Learning on the Semantic Web.- Using Cognitive Entropy to Manage Uncertain Concepts in Formal Ontologies.- Analogical Reasoning in Description Logics.- Approximate Measures of Semantic Dissimilarity under Uncertainty.- Ontology Learning and Reasoning — Dealing with Uncertainty and Inconsistency.- Hybrid Approaches.- Uncertainty Reasoning for Ontologies with General TBoxes in Description Logic.Outros livros adicionais, que poderiam ser muito similares com este livro:
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