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Design and Implementation of Report Search Engine Based on Lucene

CHENG Xu, DU Zhi-bin, SHAO Xue-bin   

  1. Automotive Data Center, China Automotive Technology & Research Center, Beijing 100176, China
  • Received:2013-09-12 Revised:1900-01-01 Online:2013-12-18 Published:2013-12-18

Abstract: After years of construction and development, a huge mass of data has been accumulated on the Notice Platform, including about 2.3 million test reports. But an effective search means has not been formed. A full-text search engine is designed for the Notice Platform test report database based on Lucene. It provides full-text search service based on content. This study is important for Notice Platform optimization and management standardization and is of important practical significance for improving the satisfaction of government and enterprises in notice management service.

Key words: notice of vehicle manufacturers and products, test reports, Lucene, full-text search, Java