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| Reihe | Lecture Notes in Computer Science |
|---|---|
| Themen | Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) |
| ISBN | 9783540897644 |
| Sprache | Englisch |
| Erscheinungsdatum | 02.12.2008 |
| Größe | 235 x 155 mm |
| Verlag | Springer |
| Herausgegeben von | Kenneth J. Laskey, Paulo Cesar G. Costa, Claudia D'Amato, Michael Pool, Nicola Fanizzi, Kathryn B. Laskey, Matthias Nickles |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Europaplatz 3 | DE-69115 Heidelberg ProductSafety@springernature.com |
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.
| Reihe | Lecture Notes in Computer Science |
|---|---|
| Themen | Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) |
| ISBN | 9783540897644 |
| Sprache | Englisch |
| Erscheinungsdatum | 02.12.2008 |
| Größe | 235 x 155 mm |
| Verlag | Springer |
| Herausgegeben von | Kenneth J. Laskey, Paulo Cesar G. Costa, Claudia D'Amato, Michael Pool, Nicola Fanizzi, Kathryn B. Laskey, Matthias Nickles |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Europaplatz 3 | DE-69115 Heidelberg ProductSafety@springernature.com |
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