Difference between revisions of "Extraction"
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{{Project | {{Project | ||
|title=Automatic Extraction of Domain Ontologies from Text | |title=Automatic Extraction of Domain Ontologies from Text | ||
| + | |image=Ontology_example.png | ||
|short_descr=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. | |short_descr=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. | ||
|tutor=DavideEynard;MatteoMatteucci | |tutor=DavideEynard;MatteoMatteucci | ||
| Line 7: | Line 8: | ||
|restopic=Knowledge Learning from Text | |restopic=Knowledge Learning from Text | ||
|start=2009/10/01 | |start=2009/10/01 | ||
| − | |status= | + | |status=Closed |
|level=Ms | |level=Ms | ||
|type=Thesis | |type=Thesis | ||
| Line 16: | Line 17: | ||
=== Project name === | === Project name === | ||
''On the Use of Correspondence Analysis to Extract Ontologies and Other Semantics from Text'' | ''On the Use of Correspondence Analysis to Extract Ontologies and Other Semantics from Text'' | ||
| + | |||
=== Project short description === | === Project short description === | ||
| − | This project is aimed at removing the knowledge acquisition bottleneck, (semi-)automatically building a knowledge base | + | 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 === | === Dates === | ||
| Line 25: | Line 27: | ||
* End date: 2010/05/05 | * End date: 2010/05/05 | ||
| − | |||
| − | |||
| − | |||
=== People involved === | === People involved === | ||
| − | ==== | + | ==== Politecnico di Milano people ==== |
| + | * Ing. [[User:MatteoMatteucci|Matteo Matteucci]] | ||
| + | * Ing. [[User:DavideEynard|Davide Eynard]] | ||
| − | === | + | === Students === |
| − | * Ing. [[User: | + | * Ing. [[User:FabioMarfia|Fabio Marfia]] |
| − | * | + | |
| + | |||
| + | == '''Part 2: project description''' == | ||
| + | * [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] | ||
| + | * [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 by Fionn Murtagh] | ||
| + | * [http://davide.eynard.it/noustat/papers%20ontology%20learning/ A collection of papers about ontology learning from text] | ||
| + | * [http://airwiki.elet.polimi.it/mediawiki/images/d/d8/On_the_use_of_CA_to_learn_knowledge.pdf Master Thesis Work] | ||
Latest revision as of 13:43, 21 January 2011
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: | 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
