Name
Abstract | ||
|---|---|---|
In this work we present a hybrid knowledge representation system aiming at extending the representational and reasoning capabilities of classical ontologies by taking into account the theories of typicality in conceptual processing. The system adopts a categorization process inspired to the dual process theories and, from a representational perspective, is equipped with a heterogeneous knowledge base that couples conceptual spaces and ontological formalisms. The system has been experimentally assessed in a conceptual categorization task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially improves the representational and reasoning "conceptual" capabilities of standard ontology-based systems. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-25840-9_20 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Knowledge representation,Formal ontologies,Conceptual spaces,Common sense reasoning,Dual process theory,Prototypical reasoning | Ontology (information science),Categorization,Data mining,Ontology,Knowledge representation and reasoning,Computer science,Commonsense reasoning,Knowledge management,Conceptual architecture,Knowledge base,Rotation formalisms in three dimensions | Conference |
Volume | ISSN | Citations |
553 | 1865-0929 | 3 |
PageRank | References | Authors |
0.48 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Lieto | 1 | 200 | 29.65 |
| Daniele P. Radicioni | 2 | 165 | 23.17 |
| Marcello Frixione | 3 | 145 | 19.05 |
| Valentina Rho | 4 | 35 | 4.42 |