Extraction
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Revision as of 16:49, 8 May 2010 by FabioMarfia (Talk | contribs)
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: | Active |
| 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 knowledge base seed 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
