DB2 Net search Extender provides a flexible query language to find relevant information based on complex retrieval operations involving Boolean combination, wildcard, and fuzzy search, for example.
DB 2NetSearchExtender提供了一种灵活的查询语言，可以根据复杂的获取操作(例如涉及布尔组合、通配符和模糊搜索)寻找相关信息。
A new indexing method for content-based music information retrieval is presented, and it is implemented on a Query By Humming (QBH) system.
提出一种新型的音乐信息检索索引方法，并将其应用于哼唱检索系统上，获得可喜的成果。
Being a new style of human machine interface, the query by humming technology has important and practical meanings to content based music retrieval online.
这种新型的人机接口，对于在互联网上实现基于内容的音乐检索有着巨大的现实意义。
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。
This paper puts forward an information retrieval system based on XML documents database on the foundation of segmentation technology, index technology and structured query language technology.
在分词技术、索引技术、结构化查询语言技术的基础上，提出了一个基于XML文档数据库的信息检索系统，这一系统模型主要由分词模块、索引模块及查询模块组成。
Application of this model to document retrieval is discussed which includes two aspects: navigating browse and criteria query based on semantic similarity calculation.
对模型在文献检索中的应用进行了初步探讨，包括两方面：导航浏览和基于语义相似度计算的条件查询。
Vocabulary mining allows one to generalize, specialize or perform other kinds of vocabulary-based transformations on the query in order to improve retrieval performance.
词汇挖掘可以使我们在查询上进行泛化、特化或者其他基于词汇转换的操作来提高查询性能。
The retrieval technique of content-based image database is a focus of query technology studying nowadays, many institutes being engaged in this project have obtained some achievements home and abroad.
基于内容的图像数据库检索技术是当今的一个研究热点，国内外的许多研究机构都在从事这一课题的研究，并取得了一定的研究成果。
The retrieval technique of content-based image database is a focus of query technology studying nowadays.
基于内容的图像数据库检索技术是当今的一个研究热点。
In many current multimedia database systems, query or retrieval is only based on descriptive KeyWords of media, it ignores another important information resource the content of media.
现有的许多多媒体数据库系统只提供了基于媒体描述关键字的检索和查询，却忽略了另一个重要的信息来源——媒体的内容。
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。
Based on the requirement of image query, the paper designs a framework of Content-Based image Retrieval system (CBIR), which possesses more functions than all kinds of existing CBIR systems.
依据当前对图象查询的要求，本文设计了一套完整的基于内容的图象信息检索系统，该系统较以往的各种系统，功能更加全面。
The most commonly used method for content-based video retrieval is query by example, so the video similarity measurement becomes a basal problem.
基于内容的视频检索中的一个最普遍的方法是根据给定例子视频的检索，因此视频相似度度量是基于内容检索中的一个基本问题。
To fully express the intention of querying in the information retrieval, we propose a query expansion method based on thesaurus and words co-occurrence distance.
为了在检索过程中全面表达查询意愿，提出一种结合同义词典和词对共现距离的查询扩展方法。
Now, the content-based query and retrieval technology of multimedia data is becoming the key technology of Digital Libraries.
基于内容的多媒体数据查询和检索技术是数字图书馆中至关重要的一项技术。
A set algebraic model that can uni1 ~ the keywords-based relation query and content-based retrieval is presented.
提出了一种能够把图像关系查询和基于内容查询相统一的集合代数模型。
A set algebraic model that can uni1 ~ the keywords-based relation query and content-based retrieval is presented.
提出了一种能够把图像关系查询和基于内容查询相统一的集合代数模型。
应用推荐