Overview of Event-Based Collective Knowledge Management in Multimedia Digital Ecosystems

M. A. Abebe, Joe Tekli, Fekade Getahun Taddesse, R. Chbeir, Gilbert Tekli
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引用次数: 6

Abstract

This paper provides an overview on the problem of event-based collective knowledge management from shared multimedia data. We start by introducing key concepts and constructs related to the problem, including multimedia digital ecosystems, collaborative environments, and collective knowledge management. Then, we utilize a real world motivating scenario to highlight some of the major challenges facing event-based knowledge organization in a multimedia collaborative environment, mainly the need to handle: i) heterogeneous data sources and their unstructured content, ii) large and growing volumes of data published online, iii) non-consistent and ambiguous multimedia data annotations, iv) misleading contents (that are not event related) published by non-experienced users, and vi) multimedia data with missing event-related meta-data. Consequently, we provide a short review of existing methods related to event detection from shared social multimedia data on the Web, contrasting their characteristics with respect to the above challenges, before highlighting potential research directions.
多媒体数字生态系统中基于事件的集体知识管理综述
本文综述了基于事件的多媒体共享数据集体知识管理问题。我们首先介绍与该问题相关的关键概念和结构,包括多媒体数字生态系统、协作环境和集体知识管理。然后,我们利用现实世界的激励场景来强调多媒体协作环境中基于事件的知识组织面临的一些主要挑战,主要是需要处理:I)异构数据源及其非结构化内容,ii)在线发布的大量且不断增长的数据,iii)不一致且模棱两可的多媒体数据注释,iv)由没有经验的用户发布的误导性内容(与事件无关),vi)缺少与事件相关元数据的多媒体数据。因此,我们简要回顾了从网络上共享的社交多媒体数据中检测事件的现有方法,对比了它们在上述挑战方面的特点,然后强调了潜在的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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