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Semantic Representation and Search Techniques for Document Retrieval Systems

机译:文献检索系统的语义表示和搜索技术

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Nowadays, organizing a repository of documents and resources for learning on a special field as Information Technology, together with search techniques based on domain knowledge or document content is an urgent need in practice of teaching, learning and researching. There have been several works related to methods of organization and search by content. However, the results are still limited and insufficient to meet user's demand for semantic document retrieval. This paper presents a solution for the organization of a repository that supports semantic representation and processing in search. The proposed solution is a model that shows the integration of components such as an ontology describing domain knowledge, a database of document repository, semantic representation for documents and a file system; with problems, semantic processing techniques and advanced search techniques based on measuring semantic similarity. The solution is applied to build a document retrieval system in the field of Information Technology, with semantic search function serving students, teachers, and manager as well. The application has been implemented, tested at the University of Information Technology, Ho Chi Minh City, Vietnam and has achieved good results.
机译:如今,在教学,学习和研究的实践中,迫切需要组织一个文档和资源库,以在特定领域作为信息技术进行学习,以及基于领域知识或文档内容的搜索技术。已经有一些与按内容组织和搜索方法有关的作品。但是,结果仍然有限,不足以满足用户对语义文档检索的需求。本文提出了一种用于组织存储库的解决方案,该存储库支持搜索中的语义表示和处理。所提出的解决方案是一个模型,该模型显示了组件的集成,例如描述领域知识的本体,文档存储库,文档的语义表示和文件系统;问题,语义处理技术和基于测量语义相似性的高级搜索技术。该解决方案用于信息技术领域的文档检索系统的构建,具有语义搜索功能,可以为学生,教师和管理人员提供服务。该应用程序已在越南胡志明市信息技术大学实施,测试,并取得了良好的效果。

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