Name
Abstract | ||
|---|---|---|
We propose a model of a middleware system enabling personalized web search for users with different preferences. We integrate both inductive and deductive tasks to find user preferences and consequently best objects. The model is based on modeling preferences by fuzzy sets and fuzzy logic. We present the model-theoretic semantics for fuzzy description logic f-EL which is the motivation of creating a model for fuzzy RDF. Our model was experimentally implemented and the integration was tested. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.12694/scpe.v9i1.521 | Scalable Computing: Practice and Experience |
Field | DocType | Volume |
Middleware,Data mining,Neuro-fuzzy,Information retrieval,Computer science,Fuzzy logic,Description logic,Knowledge processing,Fuzzy set,RDF,Semantics | Journal | 9 |
Issue | Citations | PageRank |
1 | 2 | 0.35 |
References | Authors | |
2 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Gurský | 1 | 35 | 7.23 |
| Tomás Horváth | 2 | 122 | 18.50 |
| Jozef Jirásek | 3 | 94 | 9.46 |
| Robert Novotny | 4 | 14 | 1.83 |
| Jana Pribolová | 5 | 9 | 1.58 |
| Veronika Vaneková | 6 | 27 | 2.98 |
| Peter Vojtás | 7 | 336 | 33.41 |