Content-based Information retrieval in mass network data is a significant problem in content security realm.
面向内容的网络海量信息的处理与检索等应用在安全领域具有非常重要的意义。
Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.
文字信息在描述图象内容时起着重要的作用，因此文字提取及识别是基于内容视频检索的关键技术。
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。
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