The FuzzyDL-Learner System (see also latest changes)

The Project started in collaboration with Francesca A. Lisi.


FuzzyDL-Learner is an automatic learning system for OLW 2 ontologies.

Confidence Axiom
1,000 Hostel subclass of Good_Hotel
1,000 hasPrice_veryhigh subclass of Good_Hotel
0,569 hasPrice_high subclass of Good_Hotel
0,286 hasAmenity some (24h_Reception) and hasAmenity some (Disabled_Facilities) and hasPrice_low subclass of Good_Hotel
0,282 hasAmenity some (Babysitting) and hasRank some (Rank) and hasPrice_fair subclass of Good_Hotel
0,200 Hotel_1_Star subclass of Good_Hotel

Here, the range of the real valued price attribute has been automatically fuzzyfied as illustrated below.

has price

See the here for a list of ontologies on which FOIL-DL has been tested.

So far, the system supports the following algorithms