Ontology-based Semantic Information Retrieval

机译：基于本体的语义信息检索

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The traditional search engine can't reach the recall rate and precision required. One increasingly popular method to structure information is through the use of ontology. However, OWL Classes does not do so well in expressing information needs and constructing complex query. Therefore, the term Meta Concept is put forward instead of OWL Class to express information. With Meta Concept, document resource and user requirement are redefined and new search modal based it is provided. A prototype is implemented and evaluated, and the results show large improvements over existing methods

机译：传统搜索引擎无法达到要求的召回率和准确性。一种越来越流行的信息结构方法是使用本体。但是，OWL类在表达信息需求和构造复杂查询方面不能很好地完成工作。因此，提出了术语“元概念”而不是OWL类来表达信息。使用Meta Concept，可以重新定义文档资源和用户需求，并提供基于它的新搜索模式。实现并评估了原型，结果表明，与现有方法相比，已有很大的改进

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来源
《Proceedings of joint international agricultural conference (JIAC 2009)》|2009年|1-5|共5页
会议地点 Beijing(CN);Beijing(CN)
作者
Chongpu Xia; Xinrong Cheng; Lu Zhang; Li Kang;
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作者单位

Department of Computer Science,China Agricultural University,Beijing,P. R. China 100083;

Department of Computer Science,China Agricultural University,Beijing,P. R. China 100083;

Xinhua News Agency,Beijing,P. R. China 100803;

Department of Computer Science,China Agricultural University,Beijing 100083,P. R. China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类电子技术、计算机技术在农业上的应用;
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Ontology-based Semantic Information Retrieval

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