With the growing volumes of and reliance on digital content, there is a clear need for better information managementapproaches that keep relevant information accessible and usable in long-term encapsulated together with the evolving context information that is needed for its interpretation. Inspired by the role of forgetting in the human brain, in this paper, we envision a concept of managed forgetting for systematically dealing with information that progressively ceases in importance and also with redundant information - leading to a form of Forgetful Digital Memory. Managed forgetting is meant to complement rather than copy human remembering and forgetting. It can be regarded as functions of attention and significance dynamics relying on multi-faceted information assessment. Its goal is to introduce an alternative to the dominating âkeep-it-allâ strategy for digital content, which ensures that the important content is kept safe, useful, and understandable over time
%0 Journal Article
%1 Niederee:2015:FDM:2814710.2814718
%A Niederee, Claudia
%A Kanhabua, Nattiya
%A Gallo, Francesco
%A Logie, Robert H.
%C New York, NY, USA
%D 2015
%I ACM
%J SIGMOD Rec.
%K forgetit forgetting memory
%N 2
%P 41--46
%R 10.1145/2814710.2814718
%T Forgetful Digital Memory: Towards Brain-Inspired Long-Term Data and Information Management
%U http://doi.acm.org/10.1145/2814710.2814718
%V 44
%X With the growing volumes of and reliance on digital content, there is a clear need for better information managementapproaches that keep relevant information accessible and usable in long-term encapsulated together with the evolving context information that is needed for its interpretation. Inspired by the role of forgetting in the human brain, in this paper, we envision a concept of managed forgetting for systematically dealing with information that progressively ceases in importance and also with redundant information - leading to a form of Forgetful Digital Memory. Managed forgetting is meant to complement rather than copy human remembering and forgetting. It can be regarded as functions of attention and significance dynamics relying on multi-faceted information assessment. Its goal is to introduce an alternative to the dominating âkeep-it-allâ strategy for digital content, which ensures that the important content is kept safe, useful, and understandable over time
@article{Niederee:2015:FDM:2814710.2814718,
abstract = {With the growing volumes of and reliance on digital content, there is a clear need for better information managementapproaches that keep relevant information accessible and usable in long-term encapsulated together with the evolving context information that is needed for its interpretation. Inspired by the role of forgetting in the human brain, in this paper, we envision a concept of managed forgetting for systematically dealing with information that progressively ceases in importance and also with redundant information - leading to a form of Forgetful Digital Memory. Managed forgetting is meant to complement rather than copy human remembering and forgetting. It can be regarded as functions of attention and significance dynamics relying on multi-faceted information assessment. Its goal is to introduce an alternative to the dominating âkeep-it-allâ strategy for digital content, which ensures that the important content is kept safe, useful, and understandable over time},
acmid = {2814718},
added-at = {2016-04-25T10:42:27.000+0200},
address = {New York, NY, USA},
author = {Niederee, Claudia and Kanhabua, Nattiya and Gallo, Francesco and Logie, Robert H.},
biburl = {https://www.bibsonomy.org/bibtex/289b7b0e4530f819890c388c1fddef318/l3s},
doi = {10.1145/2814710.2814718},
interhash = {d0ca0bd51d3e564bb060e1d7d474d72b},
intrahash = {89b7b0e4530f819890c388c1fddef318},
issn = {0163-5808},
issue_date = {June 2015},
journal = {SIGMOD Rec.},
keywords = {forgetit forgetting memory},
month = aug,
number = 2,
numpages = {6},
pages = {41--46},
publisher = {ACM},
timestamp = {2016-04-25T10:42:27.000+0200},
title = {Forgetful Digital Memory: Towards Brain-Inspired Long-Term Data and Information Management},
url = {http://doi.acm.org/10.1145/2814710.2814718},
volume = 44,
year = 2015
}