Name
Title | ||
|---|---|---|
Prediction of class and property assertions on OWL ontologies through evidence combination |
Abstract | ||
|---|---|---|
In the line of our investigation of inductive methods for Semantic Web reasoning, we propose an alternative way for approximate ABox reasoning based on the evidence and the analogical principle of the nearest-neighbors. Once neighbors of a test individual are selected through some distance measures, a combination rule descending from the Dempster-Shafer theory can join together the evidence provided by the various neighbor individuals in order to predict unknown values in a learning problem. We show how to exploit the procedure in the problems of determining unknown class- and role-memberships or fillers for datatype properties which may be the basis for many further ABox inductive reasoning algorithms. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/1988688.1988741 | WIMS |
Keywords | Field | DocType |
analogical principle,semantic web reasoning,owl ontology,dempster-shafer theory,combination rule,unknown class,inductive method,evidence combination,approximate abox reasoning,property assertion,unknown value,abox inductive reasoning algorithm,datatype property,dempster shafer theory,belief,semantic web,nearest neighbor,description logic,inductive reasoning,description logics,similarity | Ontology (information science),Inductive reasoning,Data mining,Computer science,Abox,Semantic Web,Description logic,Deductive reasoning,Artificial intelligence,Reasoning system,Distance measures | Conference |
Citations | PageRank | References |
2 | 0.38 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuseppe Rizzo | 1 | 4 | 1.77 |
| Nicola Fanizzi | 2 | 1124 | 90.54 |
| Claudia D'Amato | 3 | 733 | 57.03 |
| Floriana Esposito | 4 | 2434 | 277.96 |