I was recently asked to present my Linked Open Data work to the Data.gov Semantic Web and Linked Open Data Team.
One of the examples I presented was work being done by The New York Times and its efforts to catalog headings and topics. It represents a best practice example of what government agencies could and should do and I wanted to share that with our readers to help you understand the value of doing this with high-quality data sets.
For the last 150 years, The New York Times has maintained one of the most authoritative news vocabularies ever developed. In 2009, they began to publish this vocabulary using a methodology known as linked open data (illustrated above). The New York Times also uses approximately 30,000 tags to power their Times Topics Pages.
It is their intention to publish all of these tags as linked open data. Linked open data enables all of us to use the NY Times data and other data. In the illustration above, each circle represents a source of linked data and the other sources of data it is linked (related) to.
I have published both NY Times data sets as linked open data in Spotfire, a software tool that captures data in convenient ways, so readers can more readily browse, search, and download these invaluable data sets! This Spotfire chart is published to the cloud as are the documentation of this story in the MindTouch Technical Communication Suite.
Please give me your feedback on this data chart and suggestions for future data charts and stories! firstname.lastname@example.org