An Intelligent Search Engine for Agricultural Disease Prescription

Abstract : Generic search engines have played a significant role in helping people locate their needed information on the web. However, they don’t perform as desired on domain-specific queries. In this paper, we focus on the domain of agriculture and develop a novel search engine specifically for agricultural disease prescription retrieval. In order to improve the performance of search for prescription documents, we exploit the domain-specific characteristics embedded in agricultural disease prescription, and propose a domainspecific query expansion approach as well as a BM25-based structural retrieval function. An intelligent search engine for agricultural disease prescription is then implemented based on the proposed retrieval model. User interfaces of the developed search engine are demonstrated.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-420 (Part II), pp.469-477, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54341-8_49〉
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Weijian Ni, Mei Liu, Qingtian Zeng, Tong Liu. An Intelligent Search Engine for Agricultural Disease Prescription. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-420 (Part II), pp.469-477, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54341-8_49〉. 〈hal-01220858〉

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