Susan Lynch, a librarian here at AMNH, will occasionally contribute posts to the blog. With her extensive programming experience, Susan has been instrumental in translating the technical infrastructure of linked open data (LOD) for the rest of us. She regularly contributes to our discussions of future LOD implementation to enhance our records.

There’s a lot of buzz in the library world about linked open data or LOD and the closely related concepts of the semantic web and Web 3.0.  Looking for a good introduction to LOD, the Semantic Web and Web 3.0?  I recommend watching a 2009 TED talk given by Tim Berners-Lee.  See below:

The staff at the AMNH Library and our peer institutions are scrambling to understand these concepts and to apply them to the data and information which we hold.  Fortunately for us, New York City provides many opportunities to learn about these ideas and to discuss them with others.  The New York Public Library (NYPL), New York University (NYU) and the Metropolitan New York Library Resource Council (METRO) worked together to organize an event called LOD-LAM-NYC 2012 which was held on February 23, 2012 at NYPL.  Disappointed that you missed it?  You’re in luck.  Much of the program was recorded and the recordings are available online at

The Council for Library and Information Resources (CLIR), one of our funders for this project, co-sponsored a workshop on linked data with Stanford University Libraries last year and the meeting summary and technical report are available here:

The Digital Library Foundation, a program of CLIR has a site devoted to LOD:

Getting down to the nitty-gritty, there is also a web site administered by Tom Heath on behalf of the Linked Data community with links to many of the tools available for implementing linked data in a semantic web environment.

We are beginning to explore how we will manage the records and finding aids that we have developed during this project so that the data collected for the AMNH archives will link with other data on the web.

More to come…

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