Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Data Mining Applied to Acoustic Bird Species Recognition
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
An automated acoustic systemto monitor and classify birds
EURASIP Journal on Applied Signal Processing
Birdsong recognition using backpropagation and multivariatestatistics
IEEE Transactions on Signal Processing
Hi-index | 0.00 |
Birds have become an increasing concern for ecological preservation and safety. This paper proposes hierarchical architecture of semantic sensing information for bird acoustic data representation in bird ecological environment. This architecture provides various real-time sensing data such as bird calls using acoustic sensors in sensor networks. In this paper, we implement an ontology structure of hierarchical semantic information representation in bird's ecological environment. Information of this architecture supports to recognize bird calls, identify birds, classify species, and to track a bird behavior in bird ecological environment. All of this would indicate that we suggest relationship between phenomenon data to service/semantic information in bird ecology.