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Fundamental to modern information architectures, and driven by (semantic Web ) technologies, content re-appropriation is the act of searching, filtering, gathering, grouping, and aggregation which allows information to be related, classified and identified. This is achieved by applying syntactic or semantic meaning though intelligent tagging or artificial interpretation of fragmented content (see Resource Description Framework). Hence, all information becomes valuable and interpretable. ==Domain== Since the domain of Content applies to areas of software applications, documents, and media, these can be processed though a pipeline of generation, aggregation, transform-many, and serialization (see (XML Pipeline )). The output of this can viewed in a medium most effect for decision making. The desired outcomes of content re-appropriation are: *Seamless, Integrated, and Shared User experiences *Visualization *Detection, Analysis & Investigation *Personalization unique to the User *Inbound or Outbound Syndication of Information *Publish or Subscribe to Information *Dynamically adapted output to Users medium Essentially to make ''information'' disparities transparent to the user - getting to the bottom line … quickly. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Content re-appropriation」の詳細全文を読む スポンサード リンク
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