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Semantic processing of multimedia data for e-government applications

机译:电子政务应用的多媒体数据语义处理

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Knowledge management has become a challenge for almost all e-government applications where the efficient processing of large amounts of data is still a critical issue. In the last years, semantic techniques have been introduced to improve the full automatic digitalization process of documents, in order to facilitate the access to the information embedded in very large document repositories. In this paper, we present a novel model for multimedia digital documents aiming at improve effectiveness of digitalization activities within an information system supporting e-government organizations. At the best of our knowledge, the proposed model is one of the first attempts to give a single and unified characterization of multimedia documents managed by e-government applications, whereas semantic procedures and multimedia facilities are used for the transformation of unstructured documents into structured information. Furthermore, we define an architecture for the management of multimedia documents "life cycle", which provides advanced functionalities for information extraction, semantic retrieval, indexing, storage, presentation, together with long-term preservation. Preliminary experiments concerning an e-health scenario are finally presented and discussed. (C) 2015 Elsevier Ltd. All rights reserved.
机译:知识管理已成为几乎所有电子政务应用程序的挑战,在这些应用程序中,有效处理大量数据仍然是一个关键问题。在过去的几年中,引入语义技术来改进文档的全自动数字化过程,以便于访问嵌入在非常大的文档存储库中的信息。在本文中,我们提出了一种新颖的多媒体数字文档模型,旨在提高支持电子政务组织的信息系统中数字化活动的有效性。据我们所知,该模型是对电子政务应用程序管理的多媒体文档进行单一且统一表征的首次尝试之一,而语义过程和多媒体工具则用于将非结构化文档转换为结构化信息。此外,我们定义了用于管理多媒体文档“生命周期”的体系结构,该体系结构提供了用于信息提取,语义检索,索引,存储,表示以及长期保存的高级功能。最后介绍和讨论了有关电子卫生方案的初步实验。 (C)2015 Elsevier Ltd.保留所有权利。

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