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… Más…
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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… Más…
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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… Más…
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 - libro nuevoISBN: 9783540897651
Computer Science; Artificial Intelligence (incl. Robotics); Computer Science, general; Programming Techniques; Models and Principles; Probability and Statistics in Computer Science; Math … Más…
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… Más…
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
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Detalles del libro - Uncertainty Reasoning for the Semantic Web I
EAN (ISBN-13): 9783540897651
Año de publicación: 2007
Editorial: Springer Berlin Heidelberg
Libro en la base de datos desde 2017-02-21T13:34:44+01:00 (Madrid)
Página de detalles modificada por última vez el 2023-01-25T17:23:29+01:00 (Madrid)
ISBN/EAN: 9783540897651
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978-3-540-89765-1
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Autor del libro: matthias
Datos del la editorial
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
Editorial: Springer; Springer Berlin
403 Páginas
Año de publicación: 2008-11-30
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
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.Más, otros libros, que pueden ser muy parecidos a este:
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