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Topic-Structure-Based Complementary Information Retrieval and Its Application

机译：基于主题结构的互补信息检索及其应用

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摘要

A great deal of technology has been developed to help people access the information they require. With advances in the availability of information, information-seeking activities are becoming more sophisticated. This means that information technology must move to the next stage, i.e., enable users to acquire information from multiple perspectives to satisfy diverse needs. For instance, with the spread of digital broadcasting and broadband Internet connection services, infrastructure for the integration of TV programs and the Internet has been developed that enables users to acquire information from different media at the same time to improve information quality and the level of detail. In this paper, we propose a novel content-based join model for data streams (closed captions of videos or TV programs) and Web pages based on the concept of topic structures. We then propose a mechanism based on this model for retrieving complementary Web pages to augment the content of video or television programs. One of the most notable features of this complementary retrieval mechanism is that the retrieved information is not just similar to the video or TV program, but also provides additional information. In addition, we introduce an application system called WebTelop, which augments the content of TV programs in real time by using complementary Web pages. We also describe some experimental results.
机译：已经开发了许多技术来帮助人们访问所需的信息。随着信息可用性的提高，信息搜索活动变得越来越复杂。这意味着信息技术必须进入下一个阶段，即使用户能够从多个角度获取信息以满足各种需求。例如，随着数字广播和宽带Internet连接服务的普及，已经开发了用于电视节目和Internet集成的基础架构，使用户可以同时从不同的媒体获取信息，从而提高信息质量和详细程度。 。在本文中，我们基于主题结构的概念，为数据流（视频或电视节目的隐藏字幕）和网页提出了一种基于内容的新颖联接模型。然后，我们提出了一种基于此模型的机制，用于检索互补的网页以增加视频或电视节目的内容。这种补充检索机制最显着的特征之一是，检索到的信息不仅类似于视频或电视节目，而且还提供其他信息。另外，我们引入了一个称为WebTelop的应用程序系统，该系统通过使用互补的网页来实时增加电视节目的内容。我们还描述了一些实验结果。

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