Extraction

Automatic Extraction of Domain Ontologies from Text
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

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

Part 2: project description

• An early project description from Noustat
• The shared project document (work always in progress)
• A collection of basic tutorials on PCA and Correspondence Analysis
• A collection of papers from Murtagh
• A collection of papers about ontology learning from text