Using Arabic Wordnet for semantic indexation in information retrieval system
University Abou Bekr Belkaid（阿布·贝克尔·贝尔卡伊德大学）
英文摘要：
In the context of arabic Information Retrieval Systems (IRS) guided by arabic ontology and to enable those systems to better respond to user requirements, this paper aims to representing documents and queries by the best concepts extracted from Arabic Wordnet. Identified concepts belonging to Arabic WordNet synsets are extracted from documents and queries, and those having a single sense are expanded. The expanded query is then used by the IRS to retrieve the relevant documents searched. Our experiments are based primarily on a medium size corpus of arabic text. The results obtained shown us that there are a global improvement in the performance of the arabic IRS.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
