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Information access can be limited in some situations where traditional media outlets can’t cover the events due to geographical limitations or censorship. Examples of those situations can be civil unrest, war or natural disasters. In these situations citizen journalism replace or complement traditional media in the documentation of such events. Microblogging services such as Twitter have become of great use in these scenarios due their mobile nature and multimedia capabilities.
In this research we propose a method to create searchable, semantically annotated news articles from tweets in an automated way using the cloud of linked open data.