Content re-appropriation

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 applicationss, 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.

Areas of Use

Content re-appropriation is effective across the Content-Tier, that is places where Content exists:

• Identity & Directory Management e.g. LDAP, SAML & JNDI
• Content Management e.g. Apache Slide
• Content Systems e.g. File Systems, E-mail, Network shares, SAN & Database
• Business Systems e.g. ERP & CRM
• Data Warehouse e.g. OLAP
• Internet & Web Services e.g. HTTP & SOAP
• Presence and peer-To-Peer

See also

• Knowledge visualization
• Web indexing
• Taxonomy