Extraction

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Automatic Extraction of Domain Ontologies from Text
Image of the project Extraction
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


Students


Part 2: project description