WP2: Learning Web-service Domain Ontologies
author:
Miha Grčar,
Jozef Stefan Institute
Categories
Top: Computer Science: Semantic Web: OntologiesTop: Computer Science: Machine Learning: Unsupervised learning
Top: Computer Science: Data Visualisation
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| Slides | |
| 0:00 | WP 2: Learning Web-service Domain Ontologies |
| 0:20 | Outline of the Presentation |
| 1:07 | Learning Web-service Ontologies |
| 1:33 | Application Mining - 1 |
| 2:22 | Application Mining - 2 |
| 3:01 | GATE Case Study |
| 3:48 | Data Sources |
| 4:50 | A Typical Java Class |
| 5:46 | Creating a Document Network - 1 |
| 5:53 | Creating a Document Network - 2 |
| 7:00 | GATE Comment Reference Network - 1 |
| 7:10 | GATE Comment Reference Network - 2 |
| 7:31 | Transforming Networks into Feature Vectors |
| 8:24 | Combining Feature Vectors |
| 9:29 | LATINO & OntoGen Demo - 1 |
| 10:29 | LATINO & OntoGen Demo - 2 |
| 10:54 | OntoGen Demo |
| 15:43 | Dassault Case Study: Inclusion Dependencies - 1 |
| 16:30 | Dassault Case Study: Inclusion Dependencies - 2 |
| 17:25 | Dassault Case Study: Inclusion Dependencies - 3 |
| 18:06 | Dassault Case Study: Inclusion Dependencies - 4 |
| 18:54 | Conclusions and Future Work |
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