While preservation of digital content is now well established in memory institutions such as national libraries and archives, it is still in its infancy in most other organizations, and even more so for personal content. ForgetIT combines three new concepts to ease the adoption of preservation in the personal and organizational context.
Managed Forgetting models resource selection as a function of attention and significance dynamics. It is inspired by the important role of forgetting in human memory and focuses on characteristic signals of reduction in salience.
Synergetic Preservation crosses the chasm that exists between active information use and preservation management by making intelligent preservation processes an integral part of the content lifecycle in information management and by developing solutions for smooth bi-directional transitions.
Contextualized Remembering targets keeping preserved content meaningful and useful. It will be based on a process of dynamic evolution-aware contextualization, which combines context extraction and packaging with evolution detection and intelligent re-contextualization.
Approaches for managed forgetting, contextualized remembering and joint model for synergetic preservation.
Flexible and extensible Preserve-or-Forget framework, providing an extensible and adaptable set of services for extending information management solutions with intelligent preservation management.
