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Hierarchical semantic information modeling and ontology for bird ecology

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Abstract

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.

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Acknowledgements

This work was supported by ETRI (Korea) [Development of USN/WoT Convergence Platform for Internet of Reality Service Provision (13ZC1130)]. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2011-0015009).

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  1. Dept. of Computer Engineering, Jeju National University, Jeju, Republic of Korea

    Rajani Reddy Gorrepati, Safdar Ali & Do-Hyeun Kim

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  1. Rajani Reddy Gorrepati
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  2. Safdar Ali
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  3. Do-Hyeun Kim
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Correspondence to Do-Hyeun Kim.

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Gorrepati, R.R., Ali, S. & Kim, DH. Hierarchical semantic information modeling and ontology for bird ecology. Cluster Comput 16, 779–786 (2013). https://doi.org/10.1007/s10586-013-0269-4

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  • DOI: https://doi.org/10.1007/s10586-013-0269-4

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