Abstract
We created a set of domain ontologies that are based on user requirements for the Fish4Knowledge (F4K) project – goal, video description and capability. The roles of the ontologies are to 1) support the development of appropriate functions of the project’s workflow system, and 2) serve as a communication media to interface with other F4K components. The ontologies were designed with collaboration with image processing experts, marine biologists and user interface experts to capture the domain knowledge succinctly. They were utilised in the first version of our workflow composition and execution system for video classification, fish detection and counting tasks. They will continue to evolve with F4K’s needs and are envisaged to interface with other components.
This research was funded by European Commission FP7 grant 257024, in the Fish4Knowledge project ( www.fish4knowledge.eu ).
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References
aceMedia: Integrating Knowledge, Semantics and Content for User-Centred Intelligent Media Services (2004), http://www.acemedia.org/aceMedia
Bertini, M., Bimbo, A.D., Serra, G., Torniai, C., Cucchiara, R., Grana, C., Vezzani, R.: Dynamic Pictorially Enriched Ontologies for Digital Video Libraries. IEEE MultiMedia 16(2), 42–51 (2009)
McGuinness, D., van Harmelen, F.: OWL Web Ontology Language. World Wide Web Consortium (W3C) (2004), http://www.w3.org/TR/owl-features
Nadarajan, G., Chen-Burger, Y.H., Fisher, R.B.: A Knowledge-Based Planner for Processing Unconstrained Underwater Videos. In: IJCAI 2009 Workshop on Learning Structural Knowledge From Observations (STRUCK 2009) (2009)
Nadarajan, G., Chen-Burger, Y.-H., Fisher, R.B.: SWAV: Semantics-Based Workflows for Automatic Video Analysis. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2011. LNCS, vol. 6682, pp. 681–691. Springer, Heidelberg (2011)
NeOn: Networked Ontologies Project (2006-2010), http://www.neon-project.org
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Nadarajan, G., Chen-Burger, YH. (2012). Goal, Video Description and Capability Ontologies for Fish4Knowledge Domain. In: Jezic, G., Kusek, M., Nguyen, NT., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems. Technologies and Applications. KES-AMSTA 2012. Lecture Notes in Computer Science(), vol 7327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30947-2_19
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DOI: https://doi.org/10.1007/978-3-642-30947-2_19
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