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MI-MERCURY: A mobile agent architecture for ubiquitous retrieval and delivery of multimedia information

机译:MI-MERCURY:一种移动代理体系结构,用于普遍检索和传递多媒体信息

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摘要

Mining multimedia information in the Web is in general an arduous task, due to the fact that, (a) humans perceive media content using high level concepts, (b) the subjective and vagueness of content interpretation, and (c) the fact that relevant data are often hidden in a huge amount of irrelevant information. In addition, delivering and distributing the retrieved information to a wide range of terminal devices of different properties over a wide range of networks to users of different preferences requires new tools and mechanisms for content transformation and adaptation. Other problems concern the language that the data are stored, which may not be the user's preferred language. To address these issues we propose an integrated, reconfigurable, adaptable and open architecture for mining, indexing and retrieving multimedia information based on a mobile agent technology scheme. The proposed architecture consists of three integral subsystems: the acquisition module, responsible for searching and retrieving media data (both textual and visual), the transformation module, able to adapt and transform the mined information to other forms of representation, and the distribution module for delivering and adapting the retrieved data in terms of terminal devices, network channels and user's preferences. The system is based on a reconfigurable architecture which is able to dynamically and automatically update the system response to user's actual needs and preferences, by extending descriptor classes that are considered more relevant by the users. New innovative algorithms are presented in this paper both at each system module as well as in the system integration. The system supports efficient content adaptation mechanisms, textual and visual summarization (both sequential and hierarchical), automatic language translation, ontological representation, visual processing and web-based data mining. Experimental analysis on real-life web sites has been performed to test the efficiency of the proposed scheme and compare it with other approaches presented in the literature.
机译:由于以下事实,在Web上挖掘多媒体信息通常是一项艰巨的任务:(a)人们使用高级概念感知媒体内容;(b)内容解释的主观性和含糊性;以及(c)数据通常隐藏在大量不相关的信息中。另外,在广泛的网络上向具有不同偏好的用户传送和分发所检索的信息到具有不同特性的广泛终端设备,需要用于内容转换和适配的新工具和机制。其他问题涉及数据存储的语言,这可能不是用户的首选语言。为了解决这些问题,我们提出了一种基于移动代理技术方案的,用于挖掘,索引和检索多媒体信息的集成,可重新配置,适应性强且开放的体系结构。所提出的体系结构由三个不可分割的子系统组成:采集模块,负责搜索和检索媒体数据(文本和视觉数据);转换模块,能够将挖掘的信息适应和转换为其他形式的表示形式;以及分发模块,用于根据终端设备,网络通道和用户偏好来传递和调整检索到的数据。该系统基于可重配置的体系结构,该体系结构能够通过扩展用户认为更相关的描述符类来动态自动地更新系统对用户实际需求和偏好的响应。本文在每个系统模块以及系统集成中都提出了新的创新算法。该系统支持高效的内容适应机制,文本和视觉摘要(顺序和层次结构),自动语言翻译,本体表示,视觉处理和基于Web的数据挖掘。已经对现实生活中的网站进行了实验分析,以测试所提出方案的效率,并将其与文献中提出的其他方法进行比较。

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