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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… Mehr…
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 - neues BuchISBN: 9783540897651
Computer Science; Artificial Intelligence (incl. Robotics); Computer Science, general; Programming Techniques; Models and Principles; Probability and Statistics in Computer Science; Math … Mehr…
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… Mehr…
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 - neues Buch
2007, ISBN: 9783540897651
; PDF; Computing > Computer programming / software development > Web programming, Springer Berlin Heidelberg
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Detailangaben zum Buch - Uncertainty Reasoning for the Semantic Web I
EAN (ISBN-13): 9783540897651
Erscheinungsjahr: 2007
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2017-02-21T13:34:44+01:00 (Zurich)
Detailseite zuletzt geändert am 2023-01-25T17:23:29+01:00 (Zurich)
ISBN/EAN: 9783540897651
ISBN - alternative Schreibweisen:
978-3-540-89765-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: matthias
Daten vom Verlag:
Autor/in: Paulo Cesar G. Costa; Claudia d'Amato; Nicola Fanizzi; Kathryn B. Laskey; Kenneth J. Laskey; Matthias Nickles; Michael Pool
Titel: 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
Verlag: Springer; Springer Berlin
403 Seiten
Erscheinungsjahr: 2008-11-30
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Deutschland.
Sprache: Englisch
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.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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