The SIOC initiative (Semantically-Interlinked Online Communities) aims to enable the integration of online community information. SIOC provides a Semantic Web ontology for representing rich data from the Social Web in RDF. It has recently achieved significant adoption through its usage in a variety of commercial and open-source software applications, and is commonly used in conjunction with the FOAF vocabulary for expressing personal profile and social networking information. By becoming a standard way for expressing user-generated content from such sites, SIOC enables new kinds of usage scenarios for online community site data, and allows innovative semantic applications to be built on top of the existing Social Web. The SIOC ontology was recently published as a W3C Member Submission, which was submitted by 16 organisations.
Maps, graphics, and geography of Greater Boston, Massachusetts.
Bostonography is at least a site for interesting visual representations of life and land in Greater Boston, and at best it exposes and explores the geographical sense of place in the city. It begins with maps but needn’t be confined to them. In addition to linking to existing designs the aim is to inspire the many brilliant and creative people around here to turn their talents toward their city. As a showcase of such efforts large and small, perhaps Bostonography can do its tiny part to help people better know their city, spur further exploration, instil civic pride, and build a sort of graphical visibility that promotes Boston as a cool city to the rest of the world.
Excellent opportunities for promoting information literacy are available when librarians become collaborators in integrative learning initiatives, such as Writing Across the Curriculum, the Freshman Year Experience, and Learning Communities. Examples of successful collaborations are given. It is noted that the most significant challenge that remains involves assessment of information literacy in these programs.
Data visualization practitioners are a motley group, and while no two may look exactly alike, they all fall into one of 7 distinct categories. You think everyone who does interesting data…
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