CAJ | 학술논문

公告平台经过多年的建设与发展，已经积累了数量庞大的产品数据，其中检测报告数据库中已经存储了大约230余万份检测报告，然而目前对于该部分数据尚未形成有效的检索手段。本文为公告检测报告数据库设计基于Lucene框架的全文检索引擎，实现基于内容的全文检索服务。本项工作对于丰富公告检测报告的检索方式和提高检索效率，规范公告管理，提升政府和企业对公告服务的满意度具有重要的现实意义。
공고평태경과다년적건설여발전，이경적루료수량방대적산품수거，기중검측보고수거고중이경존저료대약230여만빈검측보고，연이목전대우해부분수거상미형성유효적검색수단。본문위공고검측보고수거고설계기우Lucene광가적전문검색인경，실현기우내용적전문검색복무。본항공작대우봉부공고검측보고적검색방식화제고검색효솔，규범공고관리，제승정부화기업대공고복무적만의도구유중요적현실의의。
After years of construction and development , a huge mass of data has been accumulated on the Notice Platform , inclu-ding 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 im-portant 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 .