Towards Capturing and Preserving Changes on the Web of Data
Existing Web archives aim to capture and preserve the changes of documents on the Web and provide data corpora of high value which are used in various areas (e.g. to optimize algorithms or to study the Zeitgeist of a generation). So far, the Web archives concentrate their e orts to capture the large Web of documents with periodic snapshot crawls. Little focus is drawn to preserve the continuously growing Web of data and actually keeping track of the real frequency of changes.