In this section, we give an overview of some projects, which are using the movie ontology MO. To complete this list with your project, you may simply comment on this page with your project name, link and short project description or contact us with the mentioned information.
List of Projects
- OMORE â€“ movie recommender system
- MOLookup â€“ collaborative movie URI retrieval service
- LiMo database â€“ Semantic Web-based movie cross-referencingÂ database
OMOREÂ is a cross-page personal recommender system that provides movie recommendations based on a learned user preference model across different movie Web pages such as IMDb, Amazon, Netflix, Blockbusters and RottenTomatoes. It is implemented as a Firefox Addon that adds a rating and recommendation component to all supported Web pages. The advantage of OMORE is that a user has to express his rating for a movie only once but can benefit from it on every supported Web page. OMORE is a project done by theÂ s.e.a.l.Â andÂ DDISÂ research group from theÂ Department of InformaticsÂ at theÂ University of Zurich.
MOLookupÂ is a movie lookup service that enables retrieving the unique movie URI from theÂ Linked Movies (LiMo)Â database. MOLookup provides fuzzy search facilities and retrieves the proper movie based on title and/or release year. Besides a user friendly Web interface, it provides a JSON interface that can be used in Semantic Web enabled applications.
TheÂ LiMoÂ database provides cross-referencing movie information.