Difference between revisions of "Extraction"

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== '''Part 2: project description''' ==
 
== '''Part 2: project description''' ==
* [http://docs.google.com/Doc?docid=0Ac5SBJf9Fj2UZGR4NmtkcmpfMThmajczazdjeg&hl=en An early project description from Noustat]
+
* [http://docs.google.com/Doc?docid=0Ac5SBJf9Fj2UZGR4NmtkcmpfMThmajczazdjeg&hl=en An early project description]
* [http://docs.google.com/Doc?docid=0Ac5SBJf9Fj2UZGR4NmtkcmpfMTFkNGN2NThmcQ&hl=en The shared project document (work always in progress)]
+
* [http://docs.google.com/Doc?docid=0Ac5SBJf9Fj2UZGR4NmtkcmpfMTFkNGN2NThmcQ&hl=en The shared project document]
 
* [http://davide.eynard.it/noustat/ A collection of basic tutorials on PCA and Correspondence Analysis]
 
* [http://davide.eynard.it/noustat/ A collection of basic tutorials on PCA and Correspondence Analysis]
* [http://davide.eynard.it/noustat/papers%20murtagh/ A collection of papers from Murtagh]
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* [http://davide.eynard.it/noustat/papers%20murtagh/ A collection of papers by Fionn Murtagh]
 
* [http://davide.eynard.it/noustat/papers%20ontology%20learning/ A collection of papers about ontology learning from text]
 
* [http://davide.eynard.it/noustat/papers%20ontology%20learning/ A collection of papers about ontology learning from text]

Revision as of 16:54, 8 May 2010

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: 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


Students


Part 2: project description