Detecting patterns in ontology usage - Revision history

AndreaBonarini at 16:00, 28 April 2011

2011-04-28T16:00:04Z

DavidLaniado at 08:26, 27 May 2010

2010-05-27T08:26:46Z

DavidLaniado at 15:45, 22 September 2009

2009-09-22T15:45:03Z

DavidLaniado at 15:44, 22 September 2009

2009-09-22T15:44:33Z

DavideEynard at 15:30, 22 September 2009

2009-09-22T15:30:05Z

DavideEynard: New page: {{ProjectProposal |title=Detecting patterns in ontology usage |image= |description=When building a new knowledge base the reuse of existing, well known vocabularies is often desirable. Ho...

2009-09-22T15:29:40Z

New page: {{ProjectProposal |title=Detecting patterns in ontology usage |image= |description=When building a new knowledge base the reuse of existing, well known vocabularies is often desirable. Ho...

New page

{{ProjectProposal
|title=Detecting patterns in ontology usage
|image=
|description=When building a new knowledge base the reuse of existing, well known
vocabularies is often desirable. However, sometimes it is not clear which
ontology should be preferable or which term is best suited for a specific
application. The aim of this project is to detect patterns in ontology usage
by harvesting ontologies using a given schema and analyzing how people are
using them in practice. The resulting application should download ontologies
from the main Semantic Search Engines, parse them and calculate statistics
about the terms used inside them. The tool should show these statistics, save
them in an appropriate format and make them available through an API for use
by external applications.
|tutor=DavideEynard;DavidLaniado;RiccardoTasso;MarcoColombetti
|cfumin=5
|cfumax=20
|studmin=1
|studmax=2
|resarea=Social Software and Semantic Web
|restopic=Semantic Annotations
|level=Ms
|type=Course;Thesis
|status=Proposal
}}

;Tools and instruments
:ontologies are described in (OWL/)RDF. Student(s) should be able to deal with Semantic Web
technologies and libraries.

@@ Line 11: / Line 11: @@
 |level=Ms
 |type=Course; Thesis
-|status=Active
+|status=Closed
 }}
 When building a new knowledge base the reuse of existing, well known vocabularies is often desirable. However, sometimes it is not clear which ontology should be preferable or which term is best suited for a specific application. Aim of this project is to detect patterns in ontology usage by harvesting ontologies which use a given schema (i.e. [http://www.foaf-project.org/ Foaf] or [http://dublincore.org/ Dublin Core]) and analysing how people are using them in practice. The resulting application should download ontologies from the main semantic search engines (such as [http://watson.kmi.open.ac.uk/ Watson] and [http://sindice.com/ Sindice]), parse them and calculate statistics about the terms used inside them. The tool should show these statistics, save them in an appropriate format and make them available through an API for use by external applications.

@@ Line 1: / Line 1: @@
 {{ProjectProposal
 |title=Detecting patterns in ontology usage
 |description=When building a new knowledge base the reuse of existing, well known vocabularies is often desirable. However, sometimes it is not clear which ontology should be preferable or which term is best suited for a specific application. Aim of this project is to detect patterns in ontology usage by harvesting ontologies which use a given schema (i.e. Foaf or Dublin Core) and analysing how people are using them in practice. The resulting application should download ontologies from the main semantic search engines (such as http://watson.kmi.open.ac.uk/ and http://sindice.com/), parse them and calculate statistics about the terms used inside them. The tool should show these statistics, save them in an appropriate format and make them available through an API for use by external applications.
 |tutor=DavideEynard;DavidLaniado;RiccardoTasso;MarcoColombetti
 |studmin=1
 |studmax=2
 |resarea=Social Software and Semantic Web
 |restopic=Semantic Annotations
 |level=Ms
-|type=Course;Thesis
+|type=Course; Thesis
-|status=Proposal
+|status=Active
 }}
 When building a new knowledge base the reuse of existing, well known vocabularies is often desirable. However, sometimes it is not clear which ontology should be preferable or which term is best suited for a specific application. Aim of this project is to detect patterns in ontology usage by harvesting ontologies which use a given schema (i.e. [http://www.foaf-project.org/ Foaf] or [http://dublincore.org/ Dublin Core]) and analysing how people are using them in practice. The resulting application should download ontologies from the main semantic search engines (such as [http://watson.kmi.open.ac.uk/ Watson] and [http://sindice.com/ Sindice]), parse them and calculate statistics about the terms used inside them. The tool should show these statistics, save them in an appropriate format and make them available through an API for use by external applications.
 ;Tools and instruments
 :ontologies are described in (OWL/)RDF. Student(s) should be able to deal with Semantic Web technologies and libraries.