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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