ChronoZoom Data_World War I
ChronoZoom is an open source project that enables students, teachers and researchers to explore, create, and tell stories with timelines that span any period of time– from a single day to the beginning of the universe, 13.8 billion years ago.
In addition to the core data model of Timelines. Exhibits and ContentItems, ChronoZoom has a facility for adding RDF Triple’s which is used to capture ‘causality’ connections between objects (this is called out in the Triples.xlsx and TripleObjects.xlsx files). An example of causality is the ‘archduke Ferdinand assassination’ which lead to WWI. There is currently no user interface for adding such Triple’s in ChronoZoom, but a number of Triple’s have been administratively added to the WWI timeline for exploration.” You can also look at an example of how this is used in this JSFiddle: http://jsfiddle.net/M3tan3rd/MD4c8/.
When you visit ChronoZoom you will see the sample ‘Big History’ dataset. Students at UC Berkeley created this sample dataset where the project was originally conceived. The sample dataset also contains timelines created by students at University of Washington, University of Southern California, Brown University, Microsoft Research and the NAMES Foundation among others.
As of October, 2013 the ChronoZoom production database at http://www.chronozoom.com has the following data:
• 1451 Timelines
• 1114 Exhibits
• 2603 Artifacts
For a total of 5168 objects.
The ChronoZoom test database (where the contest data is located) at http://test.chronozoom.com has the following data:
• 198978 Timelines,
• 10203 Exhibits
• 34025 Artifacts
For a total of 243206 objects.
ChronoZoom does not store media itself, instead linking to the original media source on the web. Linked data can include videos, high-definition imagery, PDFs and other resources. The linked data includes basic bibliographic metadata such as source URL, author and descriptive text left by the timeline or event author. The default dataset also contains six climate data sets, spanning from the last 250 years of instrumental weather records back to 540 million years ago based on fossil records. Chart data can be visualized next to any timeline or event, and is stored using a simple CSV format.