Abstract
From November 2010 to April 2011, our country declared a state of national disaster, which was an upgrade from the serious warning that was released because of foot-and-mouth cattle disease outbreak. The number of breeding cattle was 3,344, which was a 5.7% increase from that in the previous year. Therefore, it was imperative to respond immediately and alter the situation through frequent clinical observations and monitoring to block disease progression by quick forecasting prior to outbreak, rather than employing extreme preventive methods such as destruction of livestock after the outbreak. In this study, ontology is used to express standardized status information on cattle disease, define the relationships of status information by using standardized ontology language, Web Ontology Language (OWL), and execute efficient and intelligent cattle disease forecasting services by deducing cattle disease using Semantic Web Rule Language (SWRL).
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© 2012 Springer-Verlag Berlin Heidelberg
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Kang, Y., Choi, D. (2012). The Design of Cattle Disease Forecast System Using Ontology. In: Cho, Hs., Kim, Th., Mohammed, S., Adeli, H., Oh, Mk., Lee, KW. (eds) Green and Smart Technology with Sensor Applications. ICTSM SIA GST 2011 2012 2012. Communications in Computer and Information Science, vol 338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35251-5_27
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DOI: https://doi.org/10.1007/978-3-642-35251-5_27
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