中文摘要：

为了提高专业领域内信息检索的查准率，使检索结果在语义层面能够重新进行排序以去除非相关条目，利用语义Web中的本体技术和本体标准描述语言OWL建立了证券领域本体，并且基于证券领域本体提出了面向专业领域的信息资源检索系统IRS—SA，该系统有助于机构或者个人投资者获得及时有效的证券信息．系统接受输入检索关键词从而利用查询转化器自动构造或扩展用户查询，将自然语言查询转化为系统内部的格式后，使检索获得的结果按照本体中定义的概念及关系进行语义再排序，并将最后所得结果返回给用户，提高了文档语义相关性程度．

英文摘要：

In order to improve the precision of information retrieval in professional area, OWL, a standard for ontology description language, was used to construct ontology for stock area. The framework of information retrieval system based on stock area （IRS-SA） was developed for organizations and individual investors to get valid information in time. The system accepts key words and then automatically constructs or extends the user query by retrieval converter, which converts the key words into internal retrieval patterns, so that results from system can be re-ranked to improve the semantic relevancy between sets according to concepts and relationships in ontology and improve the semantic relevancy for documents.