Abstract
In the agricultural domain, the variety of data used by organizations is increasing rapidly. Also, there is an increasing demand for accessing these data. Now, the problem of the digital divide causes serious problems in manipulating the distributed information. Based on this condition, this paper presents the intelligent retrieval architecture of distributional agriculture science and technology data which focuses on research of the integration support technology, the concept extending retrial technology based on agricultural ontology and the personalization retrieval technique based on the user model. In the experiment, the intelligent data application platform provided by the paper proves that the architecture is effective.
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© 2011 IFIP International Federation for Information Processing
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Yang, X., Wang, W., Zeng, Q., Xie, N. (2011). An Intelligent Retrieval Platform for Distributional Agriculture Science and Technology Data. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18333-1_24
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DOI: https://doi.org/10.1007/978-3-642-18333-1_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18332-4
Online ISBN: 978-3-642-18333-1
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