Abstract | ||
---|---|---|
We outline DL-Media, an ontology mediated multimedia information retrieval system, which combines logic-based retrieval with multimedia feature-based similarity retrieval. An ontology layer is used to define (in terms of a fuzzy description logic) the relevant abstract concepts and relations of the application domain, while a content-based multimedia retrieval system is used for feature-based retrieval. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/ISMVL.2010.65 | Multiple-Valued Logic |
Keywords | Field | DocType |
retrieval system,application domain,fuzzy description logic,logic-based retrieval,feature-based retrieval,relevant abstract concept,ontology layer,content-based multimedia retrieval system,ontology mediated multimedia information,multimedia feature-based similarity retrieval,xml,ontologies,fuzzy logic,information retrieval,concrete,indexing,media,logic programming,image retrieval,database languages | Ontology (information science),Ontology,Query language,Human–computer information retrieval,Information retrieval,Computer science,Multimedia information retrieval,Description logic,Search engine indexing,Image retrieval | Conference |
ISSN | ISBN | Citations |
0195-623X | 978-1-4244-6752-5 | 7 |
PageRank | References | Authors |
0.41 | 6 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Umberto Straccia | 1 | 2731 | 251.15 |