Because computer can understand the meaning of metadata carried by RDF, our searching engine can provide information retrieval based on concept or content.
由于计算机可以理解rdf描述和携带的元数据的含义，因此可以做到基于内容的精确检索。
This paper proposes a method of image semantic annotation and retrieval based on concept distribution.
基于概念分布进行检索是实现图像语义检索的方法之一。
On the basis of the frequency one article is quoted, we propose the concept importance of document and apply it to the ordering of retrieval results based on content.
本文应用一篇文章的被引用信息提出了文献的“重要性”的概念，并将它应用到基于内容的检索结果的排序中。
Then making use of the advantages of concept lattice of concept retrieval and visualization, this paper proposes a method of query expansion in search engine based concept lattice.
接着利用概念格对概念检索的可视化特点，创造性地提出基于概念格的搜索引擎查询扩展方法，最后实现了基于概念格的查询扩展实验平台。
There is also an example of using domanial property of concept in order to eliminate lexical ambiguity in retrieval based on lightweight agricultural Ontology.
并举实例说明在基于农业初级本体的文献检索系统中利用概念的领域属性达到了排除岐义的效果。
Conceptual information retrieval navigation based on the subject concept tree provides convenience to the user.
基于主题概念树的概念检索导航为用户检索提供了便利。
Compared with existing ROI-based image retrieval approaches, it makes use of space information of ROI and multi-resolution retrieval concept, is able to query shape-free and any size objects.
与已有的基于感兴趣区域的检索方法相比，该方法很好地利用了感兴趣区域的空间信息，采用多分辨率检索思想，能够有效地对不同大小任意形状的物体进行检索。
Compared with other retrieval models, such as concept library based or concept network, LSA-based retrieval model is easy to compute and requires less human intervention.
基于LSA的检索模型与其它基于概念词典或概念网络的检索模型相比，具有可计算性强、需要人的参与少等优点。
An information retrieval model based on language concept space and a clustering method which serves the IR model is propsed.
提出了一种以语言概念空间中的概念为聚类对象的信息检索方法以及适合于该方法的聚类算法。
In content-based image retrieval systems, the inconsistency between image low-level features and the concept of high-level expressed by images lead to system semantic gap problem.
在基于内容的图像检索系统中，图像低层特征和图像所表达高层概念之间的不一致性导致系统出现语义鸿沟问题。
In order to reduce the burden of the process of retrieving information, in this paper, we have introduced the concept of ontology and established an information retrieval model based on ontology.
为了减轻用户在检索信息过程中的负担，本文根据现有信息检索模型存在的问题，引入本体的概念，建立了一种基于本体的信息检索模型。
The Knowledge Base Management System is studied in Chapter 4, which is an important component of Concept Retrieval Based on Knowledge Base.
第四章知识库管理系统，它是基于知识库概念检索的辅助工具。
The Knowledge Base Management System is studied in Chapter 4, which is an important component of Concept Retrieval Based on Knowledge Base.
第四章知识库管理系统，它是基于知识库概念检索的辅助工具。
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