Soft Computing in Ontologies and Semantic Web
This book covers in a great depth the fast growing topic of tools, techniques and applications of soft computing (e.g., fuzzy logic, genetic algorithms, neural networks, rough sets, Bayesian networks, and other probabilistic techniques) in the ontologies and Semantic Web. How components of the Seman...
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
|
Σειρά: | Studies in Fuzziness and Soft Computing,
204 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Probability in Ontologies and Semantic Web
- BayesOWL: Uncertainty Modeling in Semantic Web Ontologies
- Modeling Uncertainty in Semantic Web Taxonomies
- A Probabilistic, Logic-Based Framework for Automated Web Directory Alignment
- The SP Theory and the Representation and Processing of Knowledge
- Fuzzy Logic in Ontologies and Semantic Web
- Dynamic Services for Open Ambient Intelligence Systems
- Development of Ontologies by the Lowest Common Abstraction of Terms Using Fuzzy Hypernym Chains
- Beyond the Semantic Web: Fuzzy Logic-Based Web Intelligence
- An Ontology-Based Method for User Model Acquisition
- On Some Problems of Decision-Making Under Uncertainty in the Semantic Web
- Automatic Thematic Categorization of Multimedia Documents using Ontological Information and Fuzzy Algebra.