【作者】 胡坚；

【导师】 赵燕伟；

【作者基本信息】 浙江工业大学 ， 计算机应用技术， 2005， 硕士

【摘要】 随着网络信息的迅速增加,用户对网络数据检索的性能提出了更准、更全、更智能的要求。智能检索已成为当前信息检索领域研究的前沿性课题。本文在国家基金的资助下,研究基于本体的机械产品领域智能信息检索方法及其工程实现,取得的主要研究成果有: (1)针对已有本体建模方法的局限性,提出基于本体生命周期的建模方法,建立了MPO结构模型。提出了基于平面螺旋关系的本体知识存储机制,降低了查询构造的复杂度,提高了查询扩展的效率。 (2)设计了领域智能信息检索系统的三层体系结构,实现了查询生成,查询优化,匹配服务,检索结果序列优化等功能模块。 (3)提出了一种新的基于查询表达式与关系表互为映射的查询提炼算法(QRMM),使得自然语言查询处理过程中避免引入复杂的分词环节,能够识别查询语句中的核心概念,有效地提高了查询效率。 (4)根据检索的结果与检索词的关联程度,提出一种新的基于本体加权语义树的相似度算法(OWSTS),使得检索的结果文档按照语义从高到低排列。 (5)建立了基于本体的机械产品领域信息检索原型系统,充分利用本体在知识重用和共享上的优势,帮助用户从领域知识库中高效地获取专业信息。更多还原

【Abstract】 With the network information runs up, users demand the performance of network-data retrieval that be more accurate, more whole, and more intelligent. Research in intelligent retrieval is always an advanced subject in the domain of information retrieval. Supported by National Foundation of China, we have researched the ontology-based technologies of information retrieval and project realization in the domain of mechanical products. Some achievement we have acquired can be expressed as follows:(1) Aimed to the limitations of some existing ontology modeling method, the paper presents a new modeling method which is based on ontology life cycle and builds up the structure model of MPO. A new ontology knowledge storage method based on plane helix relation is presented .This method can reduce the complexity of query constructing, and improve the efficiency of query extension.(2) A three-layers structure for domain information intelligent retrieval system is designed in the paper, and we realize some fuction modules, such as query building, query optimizing, matching service, orders optimizing of retrival results etc.(3) In this paper, we present a new query abstracting algorithm (QRMM), which is based on the mutual mapping between query expression and relation table. Supported by QRMM, the complicated step of glossary更多还原