Name
Abstract | ||
|---|---|---|
A totally semantic measure is presented which is able to cal- culate a similarity value between concept descriptions and also between concept description and individual or between individuals expressed in an expressive description logic. It is applicable on symbolic descriptions although it uses a numeric approach for the calculus. Considering that Description Logics stand as the theoretic framework for the ontological knowledge representation and reasoning, the proposed measure can be eectively used for agglomerative and divisional clustering task applied to the semantic web domain. |
Year | Venue | Keywords |
|---|---|---|
2009 | Clinical Orthopaedics and Related Research | knowledge representation and reasoning,semantic similarity,semantic web,artificial intelligent,description logic |
Field | DocType | Volume |
Data mining,Computer science,Description logic,Semantic Web,Theoretical computer science,Natural language processing,Artificial intelligence,Social Semantic Web,Semantic Web Rule Language,Semantic computing,Semantic similarity,Knowledge representation and reasoning,Semantic grid | Journal | abs/0911.5 |
Citations | PageRank | References |
38 | 1.61 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claudia D'Amato | 1 | 733 | 57.03 |
| Nicola Fanizzi | 2 | 1124 | 90.54 |
| Floriana Esposito | 3 | 2434 | 277.96 |