Share on TelegramArtificial intelligence: methodology, systems, and applications : 11th international conference, AIMSA 2004, V
Author: International Conference on Artificial Intelligence: Methodology, Systems, Applications (11th : 2004 : Varna, Bulgaria), Bussler, Christoph, Fensel, Dieter
Added by: sketch
Added Date: 2015-12-29
Language: eng
Subjects: Artificial intelligence, Application, Intelligence artificielle, Kunstmatige intelligentie, Intelligence artificielle, Artificial intelligence, Kunstmatige intelligentie, Intelligence artificielle, Application, Künstliche Intelligenz, Artificial intelligence, Methodology, AIMSA
Publishers: Berlin : Springer
Collections: folkscanomy miscellaneous, folkscanomy, additional collections
ISBN Number: 3540229590, 9783540229599
Pages Count: 300
PPI Count: 300
PDF Count: 1
Total Size: 277.54 MB
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Description
Author: Christoph Bussler, Dieter Fensel
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-22959-9
DOI: 10.1007/b100218
Table of Contents:
- Adoption of the Classical Theory of Definition to Ontology Modeling
- An Approach to Evaluate Existing Ontologies for Indexing a Document Corpus
- Capturing Semantics Towards Automatic Coordination of Domain Ontologies
- Towards a Semantic Representation of Documents by Ontology-Document Mapping
- Using an Aligned Ontology to Process User Queries
- An Experiment on Modelling Agents and Knowledge for the Semantic Web
- Automatic Creation and Monitoring of Semantic Metadata in a Dynamic Knowledge Portal
- Coordinating Semantic Peers
- Identification of Communities of Peers by Trust and Reputation
- Integration of B2B Logistics Using Semantic Web Services
- Planning and Monitoring Web Service Composition
- A Logic of Inequalities
- Exploiting the Constrainedness in Constraint Satisfaction Problems
- Orthogonal Operators for User-Defined Symbolic Periodicities
- Solving Constraints Between Lines in Euclidean Geometry
- An Oracle Based Meta-learner for Function Decomposition
- Bagged Voting Ensembles
- Cluster Validation for High-Dimensional Datasets
- Emergent behaviours based on episodic encoding and familiarity driven retrieval
- Increasing the Classification Accuracy of Simple Bayesian Classifier
Includes bibliographical references and author index
1. Ontology engineering -- 2. Semantic web services -- 3. Knowledge presentation and processing -- 4. Machine learning and data mining -- 5. Natural language processing -- 6. Soft computing -- 7. Neural networks -- 8. E-learning systems -- 9. Multi-agent systems -- 10. Pattern recognition -- 11. Intelligent decisionmaking -- 12. Information retrieval -- Author index
