Difference between revisions of "Extraction"
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Latest revision as of 13:43, 21 January 2011
Automatic Extraction of Domain Ontologies from Text
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| Short Description: | This project is aimed at removing the ontology building bottleneck, semi-automatically building an ontology starting from a set of textual documents related to a specific domain. |
| Coordinator: | |
| Tutor: | DavideEynard (eynard@elet.polimi.it), MatteoMatteucci (matteo.matteucci@polimi.it) |
| Collaborator: | |
| Students: | FabioMarfia (marfia@elet.polimi.it) |
| Research Area: | Machine Learning |
| Research Topic: | Knowledge Learning from Text |
| Start: | 2009/10/01 |
| Status: | Closed |
| Level: | Ms |
| Type: | Thesis |
Contents
Part 1: project profile
Project name
On the Use of Correspondence Analysis to Extract Ontologies and Other Semantics from Text
Project short description
This project is aimed at removing the knowledge acquisition bottleneck, (semi-)automatically building a seed of knowledge-base from a set of textual documents related to a specific domain
Dates
- Start date: 2009/07/30
- End date: 2010/05/05
People involved
Politecnico di Milano people
- Ing. Matteo Matteucci
- Ing. Davide Eynard
Students
- Ing. Fabio Marfia
