Detecting patterns in ontology usage
|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. 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 (firstname.lastname@example.org), DavidLaniado (email@example.com), RiccardoTasso (firstname.lastname@example.org), MarcoColombetti (email@example.com)|
|Start:||Nowwarning.pngThe date "Now" was not understood.|
|Students:||1 - 2|
|CFU:||5 - 20|
|Research Area:||Social Software and Semantic Web|
|Research Topic:||Semantic Annotations|
|Status:||Proposalwarning.png"Proposal" is not in the list of possible values (Active, Closed) for this property.|
- Tools and instruments
- ontologies are described in (OWL/)RDF. Student(s) should be able to deal with Semantic Web
technologies and libraries.