The agricultural information blooms rapidly with the development of agriculture in information and
intelligence, therefore, a convenient and effective agricultural information search method and search engine for
agricultural researchers, producers and managers is in need. A search engine framework based on Heritrix and Solr
was put forward, in which Hidden Markvo Model based web information extraction and mmseg4j agricultural
dictionary based Chinese word segmentation were involved, moreover, the page ranking algorithm was improved
according to the characteristics of agricultural information search. Finally, this paper provided suggestions for
improving the user experience and efficiency of agricultural vertical search engine. |