This document summarizes the focus and achievements of the first year of the ForgetIT project, which aims to develop techniques for personal information preservation and managed forgetting. In the first year, the project focused on identifying scenarios and requirements, extending the underlying Personal Information Model ontology, and developing initial prototypes and mock-ups. Prototypes included extending the Semantic Desktop infrastructure and developing a photo organization tool leveraging the Personal Information Model. The document outlines the role of the Semantic Desktop components in the overall architecture and demonstrates early prototypes and datasets.

1. Concise Preservation by combining Managed
Forgetting and Contextualized Remembering

2. Heiko Maus
DFKI
WP 9 Presentation
Personal Preservation
ForgetIT 1st Review Meeting, April 29-30, 2014
Kaiserslautern, Germany

3. Realize & evaluate the ForgetIT principles for Personal Preservation
Leveraging effort for Personal Information Management (PIM) using
the Semantic Desktop approach and PoF-Framework
ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Objectives of WP
Why PIM & Semantic Desktop?
Allows to cover daily activities of users for
• getting hold of the resources
• deriving evidences for preservation value & memory buoyancy
• providing further context for remembering
by providing benefits for PIM
for enabling preservation and reducing required effort

4. Focus of Year 1
• Identifying scenarios, requirements & use cases
• Deriving enabling features from the Semantic Desktop & extending
the underlying ontology PIMO (Personal Information Model)
• Extending Semantic Desktop and first prototypes/mock-ups
• Preparations for evaluations in Year 2
ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Year 1 Focus

5. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Role in Preserve-or-Forget Architecture
Active System

6. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Role in Preserve-or-Forget Architecture
Semantic Desktop
preser-
vation
cloud
storage
usage
assess-
ment
SD/PoF
Adapter
forgettingtasks
location-
based
services
semantic
search
desktop & mobile
clients & plug-ins
PIMO server
Archival
Information
System
PoFframeworkservices
Preserve-or-
Forget (PoF)
Middleware
Collecting
Resources
Evidences
for MB & PV
Contextual
information
Restoring
resources
PoF services
(e.g., MB & PV
computation)
forgetting &
preservation
triggers

7. PIMO
ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Personal Information Model (PIMO) in a nutshell
PIMO represent the user‘s mental model as vocabulary for applications
Reality
C:UsersstainerPictures
Costa RicaIMG_4120.jpg
Costa Rica 2013Peter Stainer IMG_4120”Things”
Vacation
is a is a
ImagePerson
is a
Classes

8. Scenarios & requirements for Personal Preservation (D9.1)
• Input from all WPs & influenced from WP 2 survey
• Main scenarios
 Trips
 Events
 Reminiscence
 Hobbies & Noise (daily activities)
 Preservation
Prototypes & Mock-ups (D9.2)
Extended Semantic Desktop Infrastructure
• Embedding first ForgetIT results
ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Achievements in Year 1

9. Covers the travel scenario in WP9
~1500 real photos from travel and events
• most prominently a Costa Rica
journey
Available as Stainer PIMO
• incl. HowTo for installing
by everyone
• on the ForgetIT testbed
Photos annotated by the persons who shot the photos
incl. preparation work (travel info, bookmarks)
ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Data Set for Personal Preservation: Stainer Data Set

10. Semantic Desktop used for PIM in daily work
at DFKI for over 2 years
• “eat-your-own-dog-food”
• PIMO concepts & resources (over
10.000) and access log
Provides insights and real data for
memory buoyancy, preservation
values, etc. (input to WP3)
ForgetIT-related excerpt at
• https://pimo.kl.dfki.de/forgetitsandbox/
ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Evidences for MB calculation from DFKI PIMO running 24/7

11. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
PIMO-plugin for E-Mail Client

12. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Extended SemanticFileExplorer with PIMOCloud & PoF-
framework
SemanticFileExplorer embeds
PIMO in Windows Explorer
PIMOCloud realizes PIMO-based
cloud storage service
• Provides API
• Access PIMO resources on
various devices
Interaction with PoF-Framework
enables synergetic preservation &
managed forgetting of user’s resources
on the computer (WP8,WP5)

13. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Preservation embedded in File System
Preserving a file is embedded in
the MS Windows Explorer for easy
access
Restore from the archive
embedded in the
file system

14. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Using Memory Buoyancy (MB) for realizing Forgetting
MB calculation based on evidences
from Semantic Desktop
For uncluttering the desktop from
unused files by removing them from
the file system
For uncluttering the PIMO by hiding
things assumed to be forgotten

15. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
PIMORE – PIMO-based Reminiscence
Prototype for personal photo
organization using the PIMO
• for effortless preservation &
towards reminiscence
Leverage user’s efforts for photo
albums to get evidences for
• context
• relevance
Basis for discussion with WP2 for
scenarios & evaluation settings.

16. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
More Personal Information Management with PIMO
Task Management
Calendar (CalDAV)
Address book (CardDAV)
Notes
• using seed from WP4
Tagging files, webpages, e-mails,…
Mobile access

17. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Demonstration
“PIMO in a nutshell”
• ..along the DFKI PIMO
Memory Buoyancy in PIMO-Infrastructure
• ..with WP3 memory buoyancy computation
on real usage data from DFKI’s PIMO
Forget and Retrieve with PIMOCloud
• …using Stainer data set
• towards a clutter-free desktop using
memory buoyancy
http://www.dfki.uni-kl.de/~schwarz/pimo555/pimo5/

19. ForgetIT Project GA600826, 1st Review Meeting, Kaiserslautern, April 2014
Role of the Semantic Desktop components
mobile PIMO server archive
• Immediate relevant
material is available
• Recency in model as well
as important concepts
(hotness function)
• Only most recent versions
of resources required
• Constant swapping/
refreshing (in WLAN) to
keep recency is OK
• Quick availability of recent & work
related material
• Broader range of resources: work
relevant are available on immediate
access (e.g., think of offline
requirements); outdated ones are
available on request
• Clutter of not-relevant stuff is gone,
i.e., details can be removed from
desktop
• “relieve the burden to see
everything”
• All versions are available upon
request
• However, over years, detailed
material would be condensed,
i.e., keep the deliverable but not
the versions of the file, not
necessary any more
(e.g., after 1 year)
desktop
• Provides access to all
material
• Condense and compact to get
a sharper view
• Old versions of files can be
deleted & moved to
backup/archive
• Semantic associations allow
to remember & access
archived material
• Users are able to “pull on
strings” to get the information
back; like reconstructing a
certain event by starting with
the impressive building it was
located.
Userexpectationrecency
immediate up to medium-term medium-term long-term
Analogytohumanmemory
working memory &
short-term memory
working memory to
medium-term memory
currently activated
episodic and semantic
memory
working memory &
long-term memory,
episodic and
semantic memory
long-term memory
and life-time storage

20. Thank you for your attention!