TY - GEN
T1 - Conceptualizing crop life cycle events to create a user centered ontology for farmers
AU - Walisadeera, Anusha Indika
AU - Ginige, Athula
AU - Wikramanayake, Gihan N.
PY - 2014
Y1 - 2014
N2 - People need contextualized information and knowledge to make better decisions. In case of farmers, the information that they require is available through agricultural websites, agriculture department leaflets and mass media. However, available information and knowledge are general, incomplete, heterogeneous, and unstructured. Since the farmers need the information and knowledge within their own context and need to represent information in complete and structured manner we developed a farmer centered ontology in the domain of agriculture. Because of the data complexity of the relationships among various concepts, to attenuate the incompleteness of the data, and also to add semantics and background knowledge about the domain we have selected a logic based ontological approach to create our knowledge repository. In this study, we have investigated how to model the actual representation of the domain and its challenges. The internal evaluation has been done to test the usefulness of the ontology during the design process. We have developed the online knowledge base that can be queried based on the farmer context.
AB - People need contextualized information and knowledge to make better decisions. In case of farmers, the information that they require is available through agricultural websites, agriculture department leaflets and mass media. However, available information and knowledge are general, incomplete, heterogeneous, and unstructured. Since the farmers need the information and knowledge within their own context and need to represent information in complete and structured manner we developed a farmer centered ontology in the domain of agriculture. Because of the data complexity of the relationships among various concepts, to attenuate the incompleteness of the data, and also to add semantics and background knowledge about the domain we have selected a logic based ontological approach to create our knowledge repository. In this study, we have investigated how to model the actual representation of the domain and its challenges. The internal evaluation has been done to test the usefulness of the ontology during the design process. We have developed the online knowledge base that can be queried based on the farmer context.
KW - agriculture
KW - decision making
KW - farmers
KW - knowledge management
KW - ontologies
UR - http://handle.uws.edu.au:8081/1959.7/uws:29333
UR - http://2014.iccsa.org/
U2 - 10.1007/978-3-319-09156-3_55
DO - 10.1007/978-3-319-09156-3_55
M3 - Conference Paper
SN - 9783319091556
SP - 791
EP - 806
BT - Proceedings of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014), Guimaraes, Portugal, 30 June - 3 July 2014
PB - Springer
T2 - ICCSA (Conference)
Y2 - 30 June 2014
ER -