A fuzzy ontology strategy for multimedia data management

Abstract

Providing users with easy access to interesting information is one important goal of information retrieval. However, traditional information retrieval techniques are not suitable for ecological database queries since users are unable to clearly describe the target features. To overcome the problem, an information retrieval system running on handheld devices allowing users to issue queries according to their perceptions or impressions of the target bird is proposed. Six visual features allow users to express their visual perception of a bird and the query will be formulated based on the chosen features. Texture descriptions are also used when searching for the target in the bird database. A bird-information ontology based on the biodiversity is exploited to extend the search space. The methodology is illustrated in this paper. The experimental results demonstrate the effectiveness of the strategy and its applicability in other domains.

A distributed framework for multimedia using small world communities

“…To represent fuzzy knowledge more effectively, Zhai presents a new series of fuzzy ontology models that consist of fuzzy domain ontologies and fuzzy linguistic variable ontologies, considering semantic relationships of concepts, including set relation, order relation, equivalence relation and semantic association relation. Chang(Change, Huang, and Sandnes 2007) has proposed a multimedia information retrieval system, with a fuzzy information ontology strategy, to further improve the usability of mobile handheld devices (Sanchez and Yamanoi 2006). have presented several connections between Fuzzy Logic, Semantic Web, and its components (Ontologies, Description Logics).…”