Research On The Key Technology In Agricultural Knowledge Database Retrieval System

Agricultural knowledge database is the core and infrastructure of modern agricultural science and technology informational services, its importance to be self-evident. As more agricultural service platforms to build and information resources, the way to improve the integration of agricultural resources, intelligent search of information, match different information platforms and gain information timeliness and accuracy has been the central issue of agricultural information services platform in current Hunan. This paper has stand up on the items of Department of Science and Technology in Hunan province, location on the establishment of agricultural knowledge database retrieval system, to build a retrieval system suited to Hunan’s agriculture characteristics. We have done the following main jobs:A. Combining agriculture characteristics of Hunan, the author has improved the modeling algorithm of vector space models, LMS Algorithm and chloroform lucene points algorithm, and assessed the three algorithms;B. Combined with the improved segmentation algorithm of the shortest path, the author has extended the index path, integrated agricultural and non-agricultural vocabularies into the sort of index terminology, designed and implemented a new index which suitable for the agricultural knowledge base in Hunan Province.C. To profit a high property and high accurate retrieval system, the author has combined the Hunan agriculture characteristics such as the patois, regional, main products and so on, into the overall designation, which including detail analyze of functions and performances of different modules, detail general framework, retrieval system flowchart, timing of the major work, and achieve it.D. Using the lucene which is a full-text search tool bag for the second development, the author has built a fast and intellectualized information retrieval system which is based on the service platforms database, basically achieved the aim that giving the quick, intelligent and accurate answer to customers.